A high-speed fan performance testing system and method based on magnetic coupling transmission

Abstract

The application discloses a high-speed fan performance test system and method based on magnetic coupling transmission, transmits first test data and second test data to an upper computer, pre-processes according to preset parameters, generates standardized first performance characteristic set and second performance characteristic set, calculates initial performance parameters according to the first performance characteristic set and the second performance characteristic set, obtains first deviation coefficients and second deviation coefficients, generates a target performance parameter set, outputs the target performance parameter set to a curve fitting module, generates at least one fan characteristic curve representing the high-speed fan under the magnetic coupling transmission working condition, splices the fan characteristic curve, and obtains a target derived characteristic curve graph for evaluating the high-speed fan performance. The high-speed fan performance test method and system based on magnetic coupling transmission construct a complete and closed-loop performance evaluation process, and effectively avoid the driving side data distortion problem caused by magnetic coupling slip.

Description

Technical Field

[0001] This invention relates to the field of wind turbine performance testing technology, specifically to a high-speed wind turbine performance testing system and method based on magnetic coupling drive. Background Technology

[0002] High-speed fans are widely used in industrial ventilation, cleanrooms, semiconductor manufacturing, and new energy fields due to their high efficiency, small size, and low noise. However, with increasingly stringent requirements for equipment safety, sealing, and explosion-proof performance, traditional mechanical transmission methods are gradually becoming insufficient to meet the demands of special operating conditions due to issues such as shaft seal leakage, lubrication contamination, and spark risks. Magnetic coupling transmission technology, with its non-contact, fully enclosed, and wear-free characteristics, has become an ideal choice for driving high-speed fans, especially suitable for harsh environments such as high-cleanliness, highly corrosive, or flammable and explosive environments.

[0003] However, while magnetic coupling drives solve the mechanical seal problem, they introduce new technical challenges. Because magnetic coupling relies on a magnetic field to transmit torque, slight slippage (i.e., the speeds of the drive and driven sides are not perfectly synchronized) can occur under varying loads or at high speeds, leading to distortion of input power and speed signals. If traditional wind turbine testing methods are still used, collecting only motor-side data as wind turbine input parameters, actual performance will be significantly underestimated or overestimated, causing test results to deviate from real-world operating conditions and affecting the accuracy of product evaluation and energy efficiency certification.

[0004] Currently, wind turbine performance testing generally follows standards such as ISO5801 and GB / T1236, primarily based on calculations of duct system pressure, flow rate, and motor electrical parameters, assuming a transmission efficiency of 100% or using fixed correction coefficients. These methods are suitable for deterministic transmission systems such as rigid couplings or belt drives, but cannot dynamically reflect the real-time changes in torque transmission in magnetically coupled drives. Although some studies have attempted to introduce sensors to directly measure wind turbine shaft end parameters, the limited installation space and electromagnetic interference in high-speed, enclosed, shaftless magnetically coupled wind turbine structures make high-precision in-situ measurements extremely difficult.

[0005] Therefore, existing technologies lack a testing method that can accurately acquire the actual input conditions (i.e., impeller-side torque and speed) of magnetically coupled high-speed fans and simultaneously integrate duct aerodynamic parameters. This results in large deviations in performance parameter calculations, making it difficult to support the research, development, verification, and standardized evaluation of this type of fan. How to construct a closed-loop testing process adapted to the characteristics of magnetically coupled transmission to achieve high-precision, highly comparable multi-condition performance characterization has become a critical technical problem that urgently needs to be solved. Summary of the Invention

[0006] The purpose of this invention is to overcome the shortcomings of the prior art and provide a high-speed wind turbine performance testing method and system based on magnetic coupling transmission, which can acquire the real input parameters of the wind turbine impeller side and integrate the aerodynamic data of the air duct to achieve performance evaluation under multiple operating conditions.

[0007] The objective of this invention is achieved through the following technical solution: A performance testing method for high-speed wind turbines based on magnetic coupling drive, the method comprising: In response to a performance test command, the system acquires first test data transmitted from the drive motor side to the fan impeller side via magnetic coupling transmission, and second test data directly collected from the high-speed fan duct system. The first test data includes the torque and speed values ​​measured in real time by the driven magnetic rotor via magnetic coupling transmission, and the second test data includes the static pressure values ​​at the inlet pipe pressure measurement point, the static pressure values ​​at the outlet pipe pressure measurement point, the differential pressure value of the compensated micromanometer, and the ambient temperature value. The first test data and the second test data are transmitted to the host computer, preprocessed according to preset parameters, and a standardized first performance feature set and second performance feature set are generated. Based on the first performance feature set and the second performance feature set, at least one initial performance parameter for evaluating the high-speed fan under the magnetic coupling drive is calculated. The initial performance parameter includes fan flow rate, fan static pressure, fan total pressure, motor shaft power, static pressure efficiency, and total pressure efficiency. Obtain the first deviation coefficient between the current operating speed and the rated speed of the high-speed fan, and the second deviation coefficient between the current intake density and the standard state density. Based on the first deviation coefficient and the second deviation coefficient, perform proportional law correction and standard state correction on the initial performance parameters respectively to generate a target performance parameter set. The target performance parameter set is output to the curve fitting module to generate at least one wind turbine characteristic curve characterizing the high-speed wind turbine under magnetic coupling drive conditions. The at least one wind turbine characteristic curve is then spliced ​​together to obtain a target derived characteristic curve for evaluating the performance of the high-speed wind turbine.

[0008] As a preferred embodiment, the step of preprocessing according to preset parameters to generate a standardized first performance feature set and a second performance feature set further includes: Obtain a pre-configured set of static parameters for the high-speed fan, including the fan inlet diameter, fan outlet diameter, distance from the static pressure measurement point of the inlet pipe to the fan inlet, distance from the static pressure measurement point of the outlet pipe to the fan outlet, collector inlet diameter, and atmospheric pressure. Based on the static parameter set, the torque and speed values ​​in the first test data, and the static pressure values ​​at the intake pipe pressure measurement point, the static pressure values ​​at the exhaust pipe pressure measurement point, the differential pressure value of the compensated micromanometer, and the ambient temperature value in the second test data are normalized to obtain the standardized first performance feature set and the second performance feature set.

[0009] As a preferred embodiment, the step of calculating at least one initial performance parameter includes: The data from the standardized first performance feature set and the second performance feature set are directed to the computing node; In the calculation node, the fan flow rate is calculated according to the following formula. : in, The fan flow rate is expressed in cubic meters per second (m³). 3 / min; For flow rate calculation coefficients; The diameter of the collector inlet is in meters (m). To compensate for the pressure difference measured by the micromanometer, the unit is Pa; The air density at the fan inlet is expressed in kg / m³. 3 ; In the calculation node, the motor shaft power is calculated according to the following formula: in, This refers to the motor shaft power, measured in kW. The torque measured for the driven magnetic rotor in a magnetically coupled drive is expressed in N·m. The rotational speed of the driven magnetic rotor is measured in r / min. This is the power conversion factor.

[0010] As a preferred embodiment, the step of generating a target performance parameter set by performing proportional law correction and standard state correction on the initial performance parameters based on the first deviation coefficient and the second deviation coefficient, respectively, includes: Based on the first deviation coefficient, the initial fan flow rate under experimental conditions is... Initial fan total pressure Initial motor shaft power First corrected flow rate at rated speed First Correction Total Pressure and the first corrected shaft power The conversion formula is: in, The first corrected flow rate at rated speed, in m³ / min; The first corrected total pressure at rated speed, in Pa; The first corrected shaft power at rated speed, in kW; Rated speed, in r / min; The current operating speed is expressed in r / min. Based on the second deviation coefficient, the first corrected flow rate is... First Correction Total Pressure First corrected shaft power The conversion formulas for target flow rate Q0, target total pressure P0, and target shaft power N0 under standard conditions are as follows: in, The target flow rate under standard conditions is expressed in m³ / min. The target total pressure under standard conditions, in Pa; The target shaft power under standard conditions is expressed in kW. The air density at the fan inlet is expressed in kg / m³. The density of air under standard conditions. The unit is .

[0011] As a preferred embodiment, the step of generating at least one characteristic curve of the high-speed wind turbine under magnetic coupling drive conditions includes: Copy multiple sets of discrete data points from the target performance parameter set to curve fitting software; In the curve fitting software, the plotting function of multiple Y-axis curves is selected. The fan flow rate is used as the common horizontal axis, and the fan static pressure, fan total pressure, motor shaft power, static pressure efficiency and total pressure efficiency are used as different vertical axes to draw a preliminary multi-axis curve. Each curve in the preliminary multi-axis curve graph is smoothed using a B-spline curve fitting method to generate at least one wind turbine characteristic curve.

[0012] As a preferred embodiment, the method further includes dual-path redundant control of the magnetic coupling drive process of the high-speed wind turbine, specifically including: Obtain synchronization control commands for the first magnetically coupled drive motor and the second magnetically coupled drive motor; According to the synchronous control command, the programmable controller simultaneously controls the first magnetic coupling drive motor and the second magnetic coupling drive motor, so that the first fan impeller connected to the first magnetic coupling drive motor and the second fan impeller connected to the second magnetic coupling drive motor rotate at a preset speed ratio or in opposite directions. First vibration data and second vibration data of the first magnetic coupling drive motor and the second magnetic coupling drive motor are collected respectively during the transmission process. When the first vibration data or the second vibration data exceeds a preset threshold, an alarm signal is generated for switching to single motor operation mode.

[0013] As a preferred embodiment, the step of acquiring the first test data transmitted from the drive motor side to the wind turbine impeller side based on magnetic coupling transmission further includes: The torque F and speed n of the driven magnetic rotor are measured in real time using a torque and speed measuring instrument integrated on the driven magnetic rotor of the magnetic coupling drive. The real-time load power of the high-speed fan is calculated based on the torque F and the rotational speed n, and the real-time load power is compared with the preset standard load power. When the deviation between the real-time load power and the standard load power exceeds the allowable range, an adjustment command is generated to adjust the output frequency of the inverter on the drive motor side, so as to change the slip of the magnetic coupling drive.

[0014] A high-speed wind turbine performance testing system based on magnetic coupling drive includes a magnetic coupling drive component, a multi-source data acquisition component, a host computer control component, and a curve fitting output component that are interconnected. The magnetic coupling transmission assembly includes a drive motor, an active magnetic rotor connected to the output shaft of the drive motor, a driven magnetic rotor coaxially connected to the fan impeller, and an isolation sleeve disposed between the active magnetic rotor and the driven magnetic rotor, for realizing non-contact torque transmission and driving the high-speed fan to operate; The multi-source data acquisition component includes a data acquisition card, a torque and speed sensor, a pressure sensor, a temperature sensor, and a compensated micromanometer; the torque and speed sensor is integrated on the driven magnetic rotor and is used to acquire first test data; the pressure sensor, temperature sensor, and compensated micromanometer are installed in the air duct system of the high-speed fan and are used to acquire second test data. The host computer control component includes a host computer based on an operating system, in which a wind turbine performance testing program runs; the wind turbine performance testing program includes a parameter setting module, a data acquisition module, and a data processing module, used to perform data preprocessing, parameter calculation, and correction steps; The curve fitting output component communicates with the host computer control component and includes a curve fitting software interface or an embedded curve fitting algorithm module, used to perform curve fitting steps to generate and output the target derived characteristic curve.

[0015] As a preferred embodiment, the magnetic coupling drive assembly further includes a frequency converter; The frequency converter is electrically connected to the drive motor and communicatively connected to the host computer control component; it is used to receive speed adjustment commands issued by the host computer control component, change the power frequency output to the drive motor, and thereby adjust the speed of the active magnetic rotor. The torque and speed sensor measures the rotational speed of the driven magnetic rotor in real time and feeds it back to the host computer control component, forming a closed-loop control circuit for precise control of the high-speed fan speed.

[0016] As a preferred embodiment, the system also includes a dual-fan redundant control unit; The dual-fan redundant control unit includes a programmable controller. The first communication port of the programmable controller is connected to a touch screen, and the second communication port is connected to a computer. The output ports of the programmable controller are respectively connected to the first frequency converter and the second frequency converter. The first frequency converter is used to control the first high-speed fan and its corresponding first magnetic coupling drive assembly, and the second frequency converter is used to control the second high-speed fan and its corresponding second magnetic coupling drive assembly; the programmable controller is configured to perform operations to control the first high-speed fan and the second high-speed fan to rotate forward, reverse, run at high speed, run at medium speed or run at low speed at the same time.

[0017] The present invention has at least the following beneficial effects: This invention presents a performance testing method and system for high-speed wind turbines based on magnetic coupling drive. It establishes a complete, closed-loop performance evaluation process: by simultaneously acquiring the actual torque and speed of the magnetically coupled driven side (i.e., the actual operating conditions at the wind turbine input) and multi-dimensional aerodynamic parameters of the duct system, it effectively avoids data distortion on the drive side caused by magnetic coupling slip. Furthermore, a dual calibration mechanism of proportional law correction and standard state density correction is introduced to ensure that the obtained key performance parameters such as flow rate, static pressure, total pressure, shaft power, and efficiency are condition-independent and industry-comparable. Finally, through characteristic curve generation and stitching, the performance of high-speed wind turbines under multiple operating conditions in this special drive mode of magnetic coupling drive is characterized. This method significantly improves the accuracy and engineering applicability of the test results, providing a reliable technical basis for the R&D verification, factory inspection, and energy efficiency evaluation of magnetically driven high-speed wind turbines. Attached Figure Description

[0018] To reveal the technical details of the embodiments of the present invention, the accompanying drawings involved in the embodiments will be briefly described below. It should be emphasized that these drawings only present several embodiments of the present invention and should not be considered as defining the scope of the invention. For those skilled in the art, other related drawings can still be derived based on these drawings without inventive effort.

[0019] Figure 1 The flowchart shows the performance testing method for high-speed wind turbines based on magnetic coupling drive. Figure 2 This is an architecture diagram of a multi-source data acquisition component. Detailed Implementation

[0020] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings, but the scope of protection of the present invention is not limited to the following description.

[0021] It should be noted that while the following description contains numerous specific details intended to help readers fully understand the exemplary embodiments of the present invention, those skilled in the art should understand that the embodiments can still be implemented even without these specific details. For example, the system may be illustrated in the form of a block diagram to avoid affecting the clear expression of the overall solution due to too many implementation details; in other cases, to highlight the core concept, some well-known common-sense process, structural, or technical details may be omitted to ensure that the example is focused and logically concise.

[0022] like Figure 1 As shown, a high-speed wind turbine performance testing method based on magnetic coupling drive is described, the method comprising: In response to a performance test command, the system acquires first test data transmitted from the drive motor side to the fan impeller side via magnetic coupling transmission, and second test data directly collected from the high-speed fan duct system. The first test data includes the torque and speed values ​​measured in real time by the driven magnetic rotor via magnetic coupling transmission, and the second test data includes the static pressure values ​​at the inlet pipe pressure measurement point, the static pressure values ​​at the outlet pipe pressure measurement point, the differential pressure value of the compensated micromanometer, and the ambient temperature value. The first test data and the second test data are transmitted to the host computer, preprocessed according to preset parameters, and a standardized first performance feature set and second performance feature set are generated. Based on the first performance feature set and the second performance feature set, at least one initial performance parameter for evaluating the high-speed fan under the magnetic coupling drive is calculated. The initial performance parameter includes fan flow rate, fan static pressure, fan total pressure, motor shaft power, static pressure efficiency, and total pressure efficiency. Obtain the first deviation coefficient between the current operating speed and the rated speed of the high-speed fan, and the second deviation coefficient between the current intake density and the standard state density. Based on the first deviation coefficient and the second deviation coefficient, perform proportional law correction and standard state correction on the initial performance parameters respectively to generate a target performance parameter set. The target performance parameter set is output to the curve fitting module to generate at least one wind turbine characteristic curve characterizing the high-speed wind turbine under magnetic coupling drive conditions. The at least one wind turbine characteristic curve is then spliced ​​together to obtain a target derived characteristic curve for evaluating the performance of the high-speed wind turbine.

[0023] After completing multi-condition testing and obtaining the target performance parameter set, the system inputs this dataset into the curve fitting module. Based on a series of standardized performance points (including flow rate, total pressure, and shaft power), this module generates one or more continuous, smooth fan characteristic curves, such as total pressure-flow rate curves or power-flow rate curves, using mathematical fitting methods. These curves accurately reflect the operating characteristics of high-speed fans under magnetically coupled drive conditions. Since actual tests may cover different speed ranges or load ranges, multiple local characteristic curves may sometimes be obtained. To comprehensively evaluate the overall performance of the fan, the system intelligently stitches these segmented curves together, ensuring smooth transitions and consistent physical meaning at the connection points. The resulting "target-derived characteristic curve" integrates the performance across multiple operating conditions, not only eliminating interference from differences in test conditions but also fully presenting the aerodynamic and energy consumption characteristics of the fan from low to high flow rates, providing an intuitive and reliable basis for performance verification, fault diagnosis, or optimized control.

[0024] In a preferred embodiment, the step of preprocessing according to preset parameters to generate a standardized first performance feature set and a second performance feature set further includes: Obtain a pre-configured set of static parameters for the high-speed fan, including the fan inlet diameter, fan outlet diameter, distance from the static pressure measurement point of the inlet pipe to the fan inlet, distance from the static pressure measurement point of the outlet pipe to the fan outlet, collector inlet diameter, and atmospheric pressure. Based on the static parameter set, the torque and speed values ​​in the first test data, and the static pressure values ​​at the intake pipe pressure measurement point, the static pressure values ​​at the exhaust pipe pressure measurement point, the differential pressure value of the compensated micromanometer, and the ambient temperature value in the second test data are normalized to obtain the standardized first performance feature set and the second performance feature set.

[0025] In the initial stage of wind turbine performance analysis, the system first acquires a set of pre-configured static parameters related to the equipment structure and test environment. These parameters include the pipe diameters at the wind turbine inlet and outlet, the distance from the pressure measurement point to the wind turbine inlet and outlet, the collector size, and the local atmospheric pressure. These static parameters themselves do not change with the operating state, but are crucial for the interpretation of subsequent dynamic test data. Next, the system uses these static parameters as a benchmark to perform dimensional normalization on the raw data from two types of test channels: the first type of test data includes torque and speed, reflecting the mechanical input characteristics of the drive end; the second type of test data includes the static pressure of the inlet / outlet pipes, the pressure difference measured by the compensated micromanometer, and the ambient temperature, used to characterize the aerodynamic output and environmental conditions. By standardizing these raw measurements in conjunction with static geometry and environmental parameters, the influence of installation differences, sensor ranges, or environmental fluctuations can be eliminated, making the data collected at different times and locations comparable and consistent. The resulting standardized first and second performance feature sets represent the "pure" performance characteristics of the wind turbine on the mechanical input and aerodynamic output sides, respectively, laying a reliable data foundation for subsequent deviation calculations, parameter corrections, and curve fitting.

[0026] In a preferred embodiment, the step of calculating at least one initial performance parameter includes: The data from the standardized first performance feature set and the second performance feature set are directed to the computing node; In the calculation node, the fan flow rate is calculated according to the following formula. : in, The fan flow rate is expressed in cubic meters per second (m³). 3 / min; The flow rate calculation coefficient is determined by unit conversion and system characteristics. In one embodiment, the coefficient is... The following formula is pre-calculated and embedded in the flow calculation module: in, For the flow coefficient of the measuring device (e.g., ISA1932 standard nozzle), take... ), The value 60 is used to convert diameter units from millimeters (mm) to meters (m), and 60 is used to convert volumetric flow rate units from cubic meters per second (m³ / s) to cubic meters per minute (m³ / min). After substituting the values, . The diameter of the collector inlet is in meters (m). To compensate for the pressure difference measured by the micromanometer, the unit is Pa; The air density at the fan inlet is expressed in kg / m³. 3 ; In the calculation node, the motor shaft power is calculated according to the following formula: in, This refers to the motor shaft power, measured in kW. The torque measured for the driven magnetic rotor in a magnetically coupled drive is expressed in N·m. The rotational speed of the driven magnetic rotor is measured in r / min. This is the power conversion factor. .

[0027] In a preferred embodiment, the torque transmission efficiency of magnetically coupled drives directly affects the accurate acquisition of the wind turbine's input power during high-speed wind turbine performance testing. Traditional testing methods typically assume a constant transmission efficiency or ignore efficiency variations, which can lead to significant errors under high-speed, high-power conditions. As a non-contact transmission method, magnetically coupled drives involve complex coupling effects of electromagnetic, temperature, and mechanical fields in their torque transmission process. The electromagnetic field distribution determines the torque transmission capability, temperature field variations affect the performance of magnetic materials, and mechanical loads cause air gap deformation and magnetic field distortion. Existing technologies lack a quantitative description of these multi-field coupling effects, making it impossible to accurately predict torque transmission efficiency under different operating conditions.

[0028] This invention proposes a modeling method for torque transmission efficiency of magnetically coupled transmission based on electromagnetic, thermal, and mechanical multi-field coupling. By establishing multi-physics field coupling equations, it achieves accurate prediction of torque transmission efficiency and provides accurate input power calculation basis for wind turbine performance testing.

[0029] Torque transmission in magnetic coupling drives is essentially achieved through magnetic field coupling; therefore, magnetic field strength is a fundamental factor determining efficiency. Meanwhile, temperature changes can lead to degradation of magnetic material properties, and mechanical loads can cause air gap deformation, all of which affect torque transmission efficiency. Based on the above analysis, this invention constructs a multi-field coupling model that includes magnetic field coupling terms, temperature influence terms, and radial force influence terms.

[0030] The torque transmission capability of magnetic coupling drives primarily depends on the magnetic flux density at the working air gap. According to Ohm's law and Ampere's circuital law, the magnetic flux density at the working air gap can be expressed as: in, The magnetic flux density at the working air gap is expressed in tons (T). The permeability of free space, , This refers to the number of turns of the excitation coil. This is the excitation current, measured in amperes (A). The magnetic circuit filling factor is . The working air gap thickness is expressed in meters (m). This is the length of the magnetic circuit, in meters. denoted as ρ, where ρ is the relative permeability of the magnetic material.

[0031] The radial force caused by mechanical loads can affect the uniformity of the air gap, thereby affecting the magnetic field distribution and torque transmission efficiency. The formula for calculating the radial force generated by magnetic coupling transmission is: in, This refers to the radial force generated by magnetic coupling transmission, expressed in N. The permeability of free space, The average magnetic flux density at the working air gap. The effective area of ​​a single magnetic pole, in meters. .

[0032] Based on the calculation results of the magnetic field strength and radial force mentioned above, a torque transmission efficiency model incorporating the coupling effects of electromagnetic field, temperature field, and mechanical field is constructed: in, For magnetic coupling torque transmission efficiency. The actual output torque on the driven magnet rotor side, in N·m. This refers to the input torque on the active magnetic rotor side, expressed in N·m. This is the magnetic field coupling reference coefficient, dimensionless, with a value range of 0.95-0.98. This is the magnetic field strength sensitivity coefficient, with units of... , The average magnetic flux density at the working air gap. The effective diameter of the magnetic pole, in meters. The working air gap thickness is expressed in meters (m). This is the temperature influence coefficient, in units of... , This represents the difference between the actual operating temperature and the reference temperature, expressed in Kelvin (K). For reference temperature, 293.15K (20°C). This is the radial force influence coefficient. The radial force generated by magnetic coupling transmission. This represents the maximum permissible radial force of the magnetically coupled drive, expressed in N.

[0033] Achieving magnetic coupling torque transmission efficiency Afterwards, the actual input power of the fan can be accurately calculated. Calculating the fan input power requires considering two parameters: torque and speed. Simultaneously, the units need to be converted from basic units to commonly used engineering units. in, This refers to the actual input power of the fan, in kW. This refers to the driven-side torque, expressed in N·m. The driven side speed is expressed in r / min. This refers to the active side torque, expressed in N·m. This refers to the active side rotational speed, expressed in r / min. For magnetic coupling torque transmission efficiency. This is the power conversion factor. .

[0034] A temperature sensor array and a Hall sensor array are integrated into the magnetic coupling transmission assembly to monitor the temperature distribution and magnetic field strength distribution at the working air gap in real time. The data processing module in the host computer control assembly calculates sequentially according to the above formula chain: first, it calculates the magnetic induction intensity based on the real-time collected parameters such as excitation current and air gap thickness. Then according to Calculate radial force Next, the torque transmission efficiency is calculated using temperature data. Finally utilize Reconstruct the actual input power of the wind turbine This method can accurately predict efficiency changes under different speeds and load conditions, providing reliable data support for wind turbine performance evaluation. Especially under high-speed conditions, the model can effectively compensate for the efficiency decline caused by eddy current losses, hysteresis losses, and mechanical deformation, making the performance test results closer to real-world conditions.

[0035] Current technologies lack in-depth research on the quantitative relationship between slip and efficiency in magnetically coupled drives, making it impossible to achieve optimal slip control in high-speed wind turbine testing, leading to energy loss and decreased testing accuracy. As a non-contact transmission method, magnetically coupled drives exhibit slip characteristics fundamentally different from traditional mechanical transmissions. During actual operation, due to the time required for electromagnetic field establishment, the hysteresis effect of magnetic materials, and eddy current losses in the air gap, a speed difference inevitably exists between the driving and driven magnetic rotors, i.e., slip. Too small a slip leads to insufficient electromagnetic field coupling and reduced torque transmission capability; too large a slip causes additional energy loss and reduces transmission efficiency. Therefore, finding the optimal slip operating point is crucial for improving the efficiency of magnetically coupled drives.

[0036] In a preferred embodiment, the present invention proposes an optimized control method for magnetic coupling transmission based on the slip-efficiency relationship. By establishing a quantitative relationship model between slip and efficiency, the operating point of the magnetic coupling transmission can be optimized in real time, which significantly improves the accuracy and economy of high-speed wind turbine performance testing.

[0037] Slip of magnetic coupling drive Defined as the ratio of the speed difference between the driving and driven magnetic rotors to the speed of the driving magnetic rotor, it reflects the strength of electromagnetic field coupling. in, For slip, This refers to the rotational speed of the active magnetic rotor, expressed in r / min. The value represents the rotational speed of the driven magnetic rotor, expressed in r / min.

[0038] Experimental studies have shown that the torque transmission efficiency of magnetic coupling drives... With slip There is a clear nonlinear relationship between them. When the slip is too small, the electromagnetic field coupling is insufficient, leading to a decrease in torque transmission efficiency; when the slip is too large, eddy current losses and hysteresis losses increase, also leading to a decrease in efficiency. This relationship can be described by the following quadratic function model: in, For torque transmission efficiency, The maximum efficiency coefficient, ranging from 0.95 to 0.98, represents the maximum efficiency under ideal coupling conditions. This is the coefficient for the first-order slip term, ranging from 0.5 to 2.0, reflecting the linear effect of slip on efficiency. This is the coefficient of the slip quadratic term, ranging from 1.0 to 5.0, reflecting the nonlinear effect of slip on efficiency.

[0039] To find the optimal slip that maximizes efficiency Take the derivative of the efficiency function and set the derivative to zero: The optimal slip is obtained by solving the problem: Substituting the optimal slip into the efficiency formula, we can obtain the maximum efficiency of the magnetic coupling drive: Based on the above model, this invention establishes a real-time optimized control strategy for magnetically coupled drives. During the performance testing of high-speed wind turbines, the system monitors the rotational speed of the active magnetic rotor in real time. and driven magnetic rotor speed Calculate the current slip : When the current slip is detected With optimal slip The deviation exceeds the preset threshold When the slip is typically set to 0.01-0.03, the system automatically adjusts the output frequency of the drive motor to bring the slip back to its optimal value. in, This is the frequency adjustment amount, in Hz. This is a proportional control coefficient, measured in Hz, with a value ranging from 0.5 to 2.0. For optimal slip, This represents the current slip.

[0040] Through the above-described optimized control method, the magnetic coupling drive always operates near the optimal slip, maximizing torque transmission efficiency and significantly reducing energy loss. Under rated operating conditions, the average efficiency of the magnetic coupling drive can be increased by 3%-5% using the slip optimization control method of this invention, and the power measurement error in high-speed wind turbine performance testing can be reduced to less than 1%, significantly improving the accuracy and reliability of the test results.

[0041] In a preferred embodiment, the step of generating a target performance parameter set by performing proportional law correction and standard state correction on the initial performance parameters according to the first deviation coefficient and the second deviation coefficient, respectively, includes: Based on the first deviation coefficient, the initial fan flow rate under experimental conditions is... Initial fan total pressure Initial motor shaft power First corrected flow rate at rated speed First Correction Total Pressure and the first corrected shaft power The conversion formula is: in, The first corrected flow rate at rated speed, in m³ / min; The first corrected total pressure at rated speed, in Pa; The first corrected shaft power at rated speed, in kW; Rated speed, in r / min; The current operating speed is expressed in r / min. Based on the second deviation coefficient, the first corrected flow rate is... First Correction Total Pressure First corrected shaft power Target traffic converted to standard state Target full pressure Target shaft power The conversion formula is: in, The target flow rate under standard conditions is expressed in m³ / min. The target total pressure under standard conditions, in Pa; The target shaft power under standard conditions is expressed in kW. The air density at the fan inlet is expressed in kg / m³. The density of air under standard conditions. The unit is The final target performance parameter set is a collection of multiple data points obtained and corrected during a complete test under various operating conditions (such as adjusting damper opening and variable frequency speed control). .

[0042] In wind turbine performance testing, the target performance parameter set is a standardized set of data obtained by applying proportional law corrections and standard state corrections to multiple stable operating points (usually no fewer than 7). Specifically, after collecting raw parameters such as flow rate, total pressure, shaft power, speed, and intake air density at each test point, the parameters are then calculated based on the rated speed and standard air density (…). The data is normalized to obtain a series of target flow rate, target total pressure, and target shaft power under standard conditions. This parameter set exists as discrete data points covering the entire operating range of the wind turbine, forming the basic input for the subsequent curve fitting module. By performing mathematical fitting on these data points (such as polynomial regression or spline interpolation), typical characteristic curves representing high-speed wind turbines under magnetically coupled drive conditions can be generated, including total pressure-flow rate (…). ), power-flow rate ( The efficiency-flow curve provides a reliable basis for wind turbine performance evaluation, selection and matching, and energy efficiency analysis.

[0043] In a preferred embodiment, existing technologies lack a real-time evaluation method for the quality of high-speed wind turbine performance test data, making it impossible to promptly detect abnormal data during the testing process, leading to a decrease in the reliability of test results. High-speed wind turbine performance testing involves the simultaneous measurement of multiple parameters such as flow rate, pressure, and power; any measurement error in any parameter will result in a deviation in the final performance evaluation results. Especially under magnetic coupling drive conditions, due to the special nature of non-contact transmission, torque and speed measurements are more susceptible to electromagnetic interference and mechanical vibration. Traditional methods mainly rely on operator experience or post-test data review, failing to achieve real-time quality monitoring and anomaly warning.

[0044] This invention proposes a method for evaluating the quality of wind turbine performance test data based on multi-parameter consistency. By establishing a data quality index model, it enables real-time judgment of test data reliability and automatic identification of abnormal data, significantly improving the accuracy and reliability of high-speed wind turbine performance test results.

[0045] Wind turbine performance testing involves the simultaneous measurement of multiple parameters, including flow rate. static pressure Total pressure Shaft power These parameters have inherent physical relationships, which can be verified for consistency using the law of conservation of energy and fluid dynamics theory. Based on this principle, this invention establishes a multi-dimensional data quality assessment system.

[0046] First, based on the energy balance relationship of the wind turbine, the input power With output power Energy conservation must be satisfied between them: in, This refers to the output power of the fan, measured in kW. The fan flow rate is expressed in cubic meters per second (m³). 3 / min, This is the total pressure of the fan, in Pa. For power unit conversion factors, The unit is (s / min) × (W / kW); theoretically, the input power With output power The ratio should be equal to the total efficiency of the fan. This efficiency value should be within a reasonable physical range (typically 0.3-0.9): in, This represents the overall efficiency of the fan. This refers to the motor shaft power, measured in kW. In actual testing, due to measurement errors and system losses, the measured efficiency may vary. Compared with theoretical expected value There is a deviation between them. Define the efficiency deviation index. To quantify the degree of this bias: in, Efficiency deviation index, in percentage (%) To measure efficiency, The theoretically expected efficiency can be preset according to the type of fan and operating conditions.

[0047] Besides efficiency consistency, the rationality of the flow-pressure relationship also needs to be considered. Based on the aerodynamic characteristics of the fan, the flow rate... With total pressure The relationship between them typically satisfies a quadratic function, which is determined by the wind turbine's geometry and operating conditions. in, , , These are the wind turbine characteristic coefficients, with units of Pa, Pa·min / m³, and Pa·min² / m, respectively. 6 This can be determined through wind turbine design parameters or historical test data. The fan flow rate is expressed in units of [missing information]. , This is the total pressure of the fan, expressed in Pa.

[0048] Based on the above relationship, a pressure deviation index is defined. To assess the consistency between measured pressure and theoretical expected value: in, Pressure deviation index, in percentage. The measured total pressure is expressed in Pa. The theoretical total pressure is calculated based on the flow rate, and the unit is Pa.

[0049] A data quality index is established by combining the efficiency deviation index and the pressure deviation index. This enables a comprehensive evaluation of the quality of test data. in, This is a data quality index, expressed as a percentage. For example, as a weight for efficiency deviation. This reflects the importance of efficiency consistency in data quality assessment. As the pressure deviation weight, This reflects the importance of pressure-flow relationship in data quality assessment. Efficiency deviation index, in percentage (%) This is the pressure deviation index, in units of %.

[0050] According to the data quality index The size of the data determines the quality of the test data, which is divided into four levels, providing operators with a clear basis for quality judgment: Data quality level =

[0051] Superior data ( Good quality data can be directly used for wind turbine performance evaluation and report generation without additional processing. Intermediate data: The data quality is good and can be used for performance evaluation, but it is recommended to indicate the data quality level in the test report and to verify the key parameters. The data quality is generally poor and is not recommended for direct use in final performance evaluation. Data retesting or averaging multiple measurements should be performed to improve data reliability. Calibration of the test system may be necessary. (Poor-grade data) If the data quality is poor, the system automatically marks the test data as abnormal and prompts the operator to check the test system or retest. Simultaneously, the system records the characteristic parameters of the abnormal data, providing data support for fault diagnosis and system optimization.

[0052] When the data quality level is "poor," the system automatically marks the test data as abnormal and prompts the operator to check the test system or retest. Simultaneously, the system records the characteristic parameters of the abnormal data, providing data support for fault diagnosis and system optimization. This method can assess the reliability of test data in real time, achieving automation and intelligence in quality monitoring during high-speed wind turbine performance testing, significantly improving the accuracy and reliability of test results.

[0053] In a preferred embodiment, the step of generating at least one characteristic curve representing the high-speed wind turbine under magnetic coupling drive conditions includes: Copy multiple sets of discrete data points from the target performance parameter set to curve fitting software; In the curve fitting software (such as Origin, MATLAB), select the plotting function of multiple Y-axis curves, use the fan flow rate as the common horizontal axis, and use the fan static pressure, fan total pressure, motor shaft power, static pressure efficiency and total pressure efficiency as different vertical axes to draw a preliminary multi-axis curve. Each curve in the preliminary multi-axis curve graph is smoothed using a B-spline curve fitting method to generate at least one wind turbine characteristic curve.

[0054] In a preferred embodiment, the method further includes dual-path redundant control of the magnetic coupling drive process of the high-speed wind turbine, specifically including: Obtain synchronization control commands for the first magnetically coupled drive motor and the second magnetically coupled drive motor; According to the synchronous control command, the programmable controller simultaneously controls the first magnetic coupling drive motor and the second magnetic coupling drive motor, so that the first fan impeller connected to the first magnetic coupling drive motor and the second fan impeller connected to the second magnetic coupling drive motor rotate at a preset speed ratio or in opposite directions. First vibration data and second vibration data of the first magnetic coupling drive motor and the second magnetic coupling drive motor are collected respectively during the transmission process. When the first vibration data or the second vibration data exceeds a preset threshold, an alarm signal is generated for switching to single motor operation mode.

[0055] In a preferred embodiment, the operational stability of a high-speed wind turbine under magnetic coupling drive conditions is a key factor affecting the reliability of performance testing. Traditional stability assessment methods mainly rely on threshold judgments of vibration amplitude, which cannot accurately identify subtle changes in the wind turbine's operating state. Especially in magnetic coupling drive systems, due to the non-contact transmission characteristics, vibration signals contain rich spectral information, reflecting the comprehensive operating state of the wind turbine impeller, magnetic coupling components, and duct system. Existing technologies lack in-depth analysis of vibration spectral characteristics, making it impossible to achieve quantitative assessment of wind turbine operational stability and early fault warning.

[0056] This invention proposes a method for evaluating the operational stability of high-speed wind turbines based on vibration spectrum entropy. By analyzing the changes in the spectrum entropy value of vibration signals, it enables quantitative evaluation of the wind turbine's operating status and classification of its stability level, providing a basis for reliability judgment in performance testing.

[0057] Information entropy is an indicator of system uncertainty. In vibration signal analysis, spectral entropy reflects the complexity of the signal's spectral distribution. When the wind turbine is operating stably, the spectral distribution of the vibration signal is relatively concentrated, and the spectral entropy value is small. When the wind turbine malfunctions or operates unstablely, the spectral distribution becomes dispersed, and the spectral entropy value increases. Based on this principle, this invention uses spectral entropy as an evaluation indicator of wind turbine operating stability.

[0058] To improve the accuracy of spectral entropy calculation, this invention identifies key characteristic frequencies based on the structural characteristics of high-speed wind turbines and magnetically coupled drives, and then divides the frequency band accordingly. The main characteristic frequencies of wind turbines include the blade passage frequency and its harmonics, while the main characteristic frequencies of magnetically coupled drives include the magnetic pole passage frequency and its harmonics.

[0059] The blade passage frequency is the main characteristic frequency in the wind turbine vibration signal, and its calculation formula is as follows: in, The frequency at which the blades pass through, measured in Hz. This refers to the impeller speed of the fan, expressed in r / min. This refers to the number of wind turbine blades.

[0060] The frequency at which the magnetic poles pass through is the main characteristic frequency in the vibration signal of magnetically coupled transmission, and its calculation formula is as follows: in, The frequency at which the magnetic poles pass through is measured in Hz. This refers to the impeller speed of the fan, expressed in r / min. This represents the number of magnetic pole pairs in a magnetically coupled drive system, expressed in pairs.

[0061] In addition to the fundamental frequency, the vibration signals from wind turbines and magnetically coupled drives also contain abundant harmonic components. These harmonic frequencies are of great significance for fault diagnosis. in, The harmonic frequency of the blade's passage frequency, measured in Hz. The harmonic order is... The harmonic frequency of the magnetic poles is expressed in Hz. It represents the harmonic order.

[0062] Based on the identification of characteristic frequencies, a Fast Fourier Transform (FFT) is performed on the acquired vibration signal to obtain spectral data. Then, the spectrum is divided into... Calculate the power spectral density for each frequency band. After normalization, the normalized power spectral density is obtained, and then the spectral entropy is calculated: in, The spectral entropy of the vibration signal is expressed in bits. For the first Normalized power spectral density of each frequency band This represents the total number of frequency bands analyzed in the spectrum. Let be the power spectral density of the i-th frequency band, in units of . .

[0063] To comprehensively evaluate the operational stability of wind turbines, this invention constructs a stability assessment index comprising three dimensions: spectral entropy, amplitude, and frequency offset. These three dimensions respectively reflect the complexity of the spectral distribution, vibration intensity, and the stability of the characteristic frequencies.

[0064] in, As a stability assessment index, These are the weighting coefficients. , This represents the current operating condition's spectral entropy value, in bits (calculated using the spectral entropy formula described above). This is the baseline operating condition spectral entropy value, in bits. The dominant frequency amplitude, in m / s 2 , This is the amplitude warning threshold, in m / s. 2 , This is the characteristic frequency offset, in Hz. This represents the frequency tolerance range, expressed in Hz.

[0065] Determining the weighting coefficients requires considering the importance of different evaluation dimensions. This invention uses a weighted average method to determine the weighting coefficients: Where is the spectral entropy weighting factor, with a value ranging from 0.3 to 0.5. This is the amplitude weighting factor, with a value range of 0.2-0.4. This is the frequency offset weighting factor, with a value range of 0.2-0.3.

[0066] Based on the magnitude of the stability assessment index, the operational stability of wind turbines is divided into four levels: Stability level =

[0067] Accelerometers are installed on the bearing housing and magnetic coupling drive housing of the high-speed fan to collect vibration signals in real time. The data processing module in the host computer control unit first calculates the characteristic frequency based on the real-time rotational speed. and Then, FFT analysis was performed on the vibration signal to calculate the spectral entropy. Next, by combining characteristic frequency identification and amplitude analysis, the stability assessment index is calculated. This index is used to determine the reliability of the current test condition. When the stability level is "poor," the system automatically pauses the test and issues a warning signal. During performance testing, this method can monitor changes in the wind turbine's operating status in real time, ensuring the validity and reliability of the test data. It is particularly suitable for long-term, multi-condition performance testing scenarios. By monitoring the trend of spectral entropy changes, it can also provide early warnings of wind turbine faults, such as bearing wear, impeller imbalance, and poor magnetic coupling alignment, significantly improving the intelligence and reliability of the testing system.

[0068] In a preferred embodiment, the step of acquiring the first test data transmitted from the drive motor side to the wind turbine impeller side based on magnetic coupling transmission further includes: The torque F and speed n of the driven magnetic rotor are measured in real time using a torque and speed measuring instrument integrated on the driven magnetic rotor of the magnetic coupling drive. The real-time load power of the high-speed fan is calculated based on the torque F and the rotational speed n, and the real-time load power is compared with the preset standard load power. When the deviation between the real-time load power and the standard load power exceeds the allowable range, an adjustment command is generated to adjust the output frequency of the inverter on the drive motor side, so as to change the slip of the magnetic coupling drive.

[0069] In this system, magnetic coupling drive is used to transmit the power of the drive motor to the impeller side of the fan non-contactly, enabling flexible transmission and slip adjustment. To accurately grasp the actual operating status of the fan, a torque and speed measuring instrument is integrated on the driven magnetic rotor of the magnetic coupling, which can acquire the torque and speed transmitted to the impeller in real time. These two parameters directly reflect the current load of the fan, and the system calculates the real-time load power accordingly. Subsequently, this power value is compared with the pre-set standard load power (i.e., the power that the fan should consume under ideal operating conditions). If the deviation between the two exceeds the allowable tolerance range, such as due to changes in duct resistance or impeller dust accumulation causing abnormal increases or decreases in load, the system will automatically generate an adjustment command and send it to the frequency converter on the drive motor side to dynamically adjust its output frequency. This adjustment changes the speed difference (i.e., slip) on both sides of the magnetic coupling drive, thereby controlling the transmitted torque and power, so that the fan returns to the expected operating state. The entire process forms a closed-loop feedback mechanism, which not only ensures the efficient and stable operation of the fan, but also avoids energy waste or equipment risks caused by overload or underload.

[0070] In a preferred embodiment, the method further includes a data remote transmission step: Based on data transmission technology, the standardized first performance feature set, second performance feature set, and target derived characteristic curve in the host computer are encapsulated into a remotely accessible data stream; By setting a unified resource locator, the data stream is published to the laboratory's internal network, enabling multiple clients on the network to simultaneously obtain and display the real-time performance status of the high-speed fan.

[0071] In a preferred embodiment, the method further includes software filtering and data stability enhancement steps: During the transmission of the first test data and the second test data, a software filter is embedded in the program of the host computer; The software filter performs moving average or median filtering on multiple continuously sampled data points to remove high-frequency electromagnetic interference or mechanical vibration noise caused by magnetic coupling transmission, generating smoothed first and second test data.

[0072] In a preferred embodiment, prior to the step of responding to the performance test command, a system initialization and parameter self-test step is further included: In response to system power-on, the temperature of the isolation sleeve and the state of the permanent magnet in the magnetic coupling drive are self-checked; Obtain the device handle of the data acquisition card and perform communication tests on its analog input channels and digital input / output channels; After performing a communication protocol handshake with the programmable controller, frequency converter, and various sensors to confirm that all hardware is in a ready state, the preset parameter setting module is loaded.

[0073] A high-speed wind turbine performance testing system based on magnetic coupling drive includes a magnetic coupling drive component, a multi-source data acquisition component, a host computer control component, and a curve fitting output component that are interconnected. The magnetic coupling transmission assembly includes a drive motor, an active magnetic rotor connected to the output shaft of the drive motor, a driven magnetic rotor coaxially connected to the fan impeller, and an isolation sleeve disposed between the active magnetic rotor and the driven magnetic rotor, for realizing non-contact torque transmission and driving the high-speed fan to operate; The multi-source data acquisition component includes a data acquisition card, a torque and speed sensor, a pressure sensor, a temperature sensor, and a compensated micromanometer; the torque and speed sensor is integrated on the driven magnetic rotor and is used to acquire first test data; the pressure sensor, temperature sensor, and compensated micromanometer are installed in the air duct system of the high-speed fan and are used to acquire second test data. The host computer control component includes a host computer based on an operating system, in which a wind turbine performance testing program runs; the wind turbine performance testing program includes a parameter setting module, a data acquisition module, and a data processing module, used to perform the data preprocessing, parameter calculation, and correction steps in the above method; The curve fitting output component communicates with the host computer control component and includes a curve fitting software interface or an embedded curve fitting algorithm module, used to execute the curve fitting steps in the above method to generate and output the target derived characteristic curve.

[0074] The high-speed fan performance testing system is built upon magnetic coupling drive technology. The system consists of four main components working collaboratively: a magnetic coupling drive assembly, a multi-source data acquisition assembly, a host computer control assembly, and a curve fitting output assembly. The magnetic coupling drive assembly drives an active magnetic rotor to rotate via a drive motor. Under the sealed protection of an isolation sleeve, torque is transmitted non-contactly to the driven magnetic rotor using magnetic field, thereby driving the fan impeller. This structure not only avoids the mechanical wear and leakage risks of traditional couplings but also allows for flexible load control through slip adjustment. Simultaneously, the multi-source data acquisition assembly acquires two types of key data in real time: one is the torque and speed measured by a torque and speed sensor integrated on the driven magnetic rotor (i.e., the first test data), reflecting the mechanical power on the fan input side; the other is the static pressure, total pressure, temperature, and humidity parameters collected by pressure sensors, temperature sensors, and compensated micromanometers arranged in the duct (i.e., the second test data), used to calculate aerodynamic performance indicators such as airflow and efficiency. All raw data is aggregated by the data acquisition card and transmitted to the host computer control component. The internal wind turbine performance testing program sequentially completes steps such as parameter configuration, synchronous data acquisition, standardized preprocessing, performance parameter calculation, and environmental correction to ensure data accuracy and comparability. Finally, the processed performance data is sent to the curve fitting output component. This component, using embedded algorithms or external curve fitting software, performs B-spline smoothing fitting on multiple performance parameters such as static pressure, total pressure, power, and efficiency, with wind turbine flow rate as the x-axis, generating clear and intuitive multi-axis characteristic curves for engineers to analyze wind turbine performance, optimize design, or guide on-site operation. The entire system achieves a closed-loop process from drive, sensing, and control to visualization output, combining high precision, high safety, and a high degree of automation.

[0075] In a preferred embodiment, the magnetically coupled drive assembly further includes a frequency converter; The frequency converter is electrically connected to the drive motor and communicatively connected to the host computer control component; it is used to receive speed adjustment commands issued by the host computer control component, change the power frequency output to the drive motor, and thereby adjust the speed of the active magnetic rotor. The torque and speed sensor measures the rotational speed of the driven magnetic rotor in real time and feeds it back to the host computer control component, forming a closed-loop control circuit for precise control of the high-speed fan speed.

[0076] In a preferred embodiment, see Figure 2 The data acquisition card in the multi-source data acquisition component is an analog data acquisition card; The analog data acquisition card acquires analog voltage signals from the pressure sensor and temperature sensor through its analog input channel, acquires frequency signals from the torque and speed sensor through its counter channel, and controls the start and stop of the high-speed fan and the opening of the regulating valve through its digital input and output channels.

[0077] In a preferred embodiment, the wind turbine performance test program in the host computer control component adopts a flowchart architecture that combines event structure and loop structure; The event structure includes parameter saving events, parameter reading events, parameter setting events, motor start / stop events, motor speed control events, and data processing events; wherein, the motor start / stop events and motor speed control events drive the drive motor in the magnetic coupling transmission component by calling functions in the dynamic link library.

[0078] In a preferred embodiment, the system further includes a dual-fan redundant control unit; The dual-fan redundant control unit includes a programmable controller. The first communication port of the programmable controller is connected to a touch screen, and the second communication port is connected to a computer. The output ports of the programmable controller are respectively connected to the first frequency converter and the second frequency converter. The first frequency converter is used to control the first high-speed fan and its corresponding first magnetic coupling drive assembly, and the second frequency converter is used to control the second high-speed fan and its corresponding first magnetic coupling drive assembly; the programmable controller is configured to perform operations to control the first high-speed fan and the second high-speed fan to rotate forward, reverse, run at high speed, run at medium speed or run at low speed at the same time.

[0079] The system also includes a dual-fan redundant control unit to improve operational reliability and control flexibility. This unit is centered around a programmable logic controller (PLC). Its first communication port connects to a touchscreen for on-site operation, allowing maintenance personnel to view the status in real time or perform local operations. The second communication port connects to a host computer for remote monitoring and data interaction. The PLC's output ports control two frequency converters: the first frequency converter drives the first high-speed fan and its associated first magnetic coupling drive assembly, while the second frequency converter controls the second high-speed fan and its corresponding second magnetic coupling drive assembly. The magnetic coupling drive assembly is a non-contact transmission device consisting of a drive motor, an active magnetic rotor, a driven magnetic rotor, and an isolation sleeve. The active magnetic rotor is mounted on the motor shaft, and the driven magnetic rotor is coaxial with the fan impeller. The two are separated by a sealed isolation sleeve, transmitting torque through a magnetic field, achieving power transmission while maintaining airtightness to prevent mechanical wear and leakage. In actual operation, the PLC is configured to synchronously coordinate the actions of the two fans, for example, instructing both fans to rotate forward and reverse simultaneously, or uniformly switch to high-speed, medium-speed, or low-speed operation modes. This synchronous control capability not only ensures the coordination and consistency of the two fans under operating conditions such as parallel air supply, but also supports a redundancy backup strategy. When one of them fails, the other can quickly take over the load, ensuring the continuous and stable operation of the system.

[0080] In summary, the high-speed wind turbine performance testing system and method based on magnetic coupling drive achieves high-precision and high-reliability wind turbine performance evaluation through non-contact transmission. The system not only collects and corrects key performance parameters in real time but also introduces innovative methods such as slip optimization, efficiency modeling, data quality assessment, and vibration stability analysis, effectively improving the accuracy and intelligence of the test. Simultaneously, it supports remote access, software filtering, and closed-loop speed regulation, balancing safety, flexibility, and engineering practicality, providing comprehensive technical support for the research, development, testing, and optimization of high-speed wind turbines.

[0081] Although the preferred embodiments of the present invention have been described in detail above, those skilled in the art, upon understanding the core inventive concept, can still make various adjustments and modifications. Therefore, the appended claims should be interpreted as covering not only the preferred embodiments but also all equivalent variations, alternatives, and improvements falling within the spirit and scope of the present invention. It should be emphasized that the above embodiments are merely illustrative and not intended to limit the present invention; any modifications, equivalent substitutions, or optimizations made within the basic principles and technical concept of the present invention should be considered within the scope of protection of the present invention.

Claims

1. A method for testing the performance of a high-speed wind turbine based on magnetic coupling drive, characterized in that, The method includes: In response to a performance test command, the system acquires first test data transmitted from the drive motor side to the fan impeller side via magnetic coupling transmission, and second test data directly collected from the high-speed fan duct system. The first test data includes the torque and speed values ​​measured in real time by the driven magnetic rotor via magnetic coupling transmission, and the second test data includes the static pressure values ​​at the inlet pipe pressure measurement point, the static pressure values ​​at the outlet pipe pressure measurement point, the differential pressure value of the compensated micromanometer, and the ambient temperature value. The first test data and the second test data are transmitted to the host computer, preprocessed according to preset parameters, and a standardized first performance feature set and second performance feature set are generated. Based on the first performance feature set and the second performance feature set, at least one initial performance parameter for evaluating the high-speed fan under the magnetic coupling drive is calculated. The initial performance parameter includes fan flow rate, fan static pressure, fan total pressure, motor shaft power, static pressure efficiency, and total pressure efficiency. Obtain the first deviation coefficient between the current operating speed and the rated speed of the high-speed fan, and the second deviation coefficient between the current intake density and the standard state density. Based on the first deviation coefficient and the second deviation coefficient, perform proportional law correction and standard state correction on the initial performance parameters respectively to generate a target performance parameter set. The target performance parameter set is output to the curve fitting module to generate at least one wind turbine characteristic curve characterizing the high-speed wind turbine under magnetic coupling drive conditions. The at least one wind turbine characteristic curve is then spliced ​​together to obtain a target derived characteristic curve for evaluating the performance of the high-speed wind turbine.

2. The high-speed wind turbine performance testing method based on magnetic coupling transmission according to claim 1, characterized in that, The step of preprocessing according to preset parameters to generate a standardized first performance feature set and a second performance feature set further includes: Obtain a pre-configured set of static parameters for the high-speed fan, including the fan inlet diameter, fan outlet diameter, distance from the static pressure measurement point of the inlet pipe to the fan inlet, distance from the static pressure measurement point of the outlet pipe to the fan outlet, collector inlet diameter, and atmospheric pressure. Based on the static parameter set, the torque and speed values ​​in the first test data, and the static pressure values ​​at the intake pipe pressure measurement point, the static pressure values ​​at the exhaust pipe pressure measurement point, the differential pressure value of the compensated micromanometer, and the ambient temperature value in the second test data are normalized to obtain the standardized first performance feature set and the second performance feature set.

3. The high-speed wind turbine performance testing method based on magnetic coupling transmission according to claim 1, characterized in that, The step of calculating at least one initial performance parameter includes: The data from the standardized first performance feature set and the second performance feature set are directed to the computing node; In the calculation node, the fan flow rate is calculated according to the following formula. : in, For fan flow rate; For flow rate calculation coefficients; The diameter of the collector's air inlet; To compensate for the pressure difference measured by the micromanometer; The air density at the fan inlet; In the calculation node, the motor shaft power is calculated according to the following formula: in, This refers to the motor shaft power. The torque measured for the driven magnetic rotor in a magnetically coupled drive; The rotational speed measured for the driven magnetic rotor; This is the power conversion factor.

4. The high-speed wind turbine performance testing method based on magnetic coupling transmission according to claim 1, characterized in that, The step of generating a target performance parameter set by performing proportional law correction and standard state correction on the initial performance parameters based on the first deviation coefficient and the second deviation coefficient, respectively, includes: Based on the first deviation coefficient, the initial fan flow rate under experimental conditions is... Initial fan total pressure Initial motor shaft power First corrected flow rate at rated speed First Correction Total Pressure and the first corrected shaft power The conversion formula is: in, The first corrected flow rate at rated speed; The first corrected total pressure at rated speed; The first corrected shaft power at rated speed; Rated speed; This is the current operating speed; Based on the second deviation coefficient, the first corrected flow rate is... First Correction Total Pressure First corrected shaft power The conversion formulas for target flow rate Q0, target total pressure P0, and target shaft power N0 under standard conditions are as follows: in, The target flow rate under standard conditions; The target total pressure under standard conditions; The target shaft power under standard conditions; The air density at the fan inlet; This refers to the air density under standard conditions.

5. The high-speed wind turbine performance testing method based on magnetic coupling transmission according to claim 1, characterized in that, The step of generating at least one characteristic curve of the high-speed wind turbine under magnetic coupling drive conditions includes: Copy multiple sets of discrete data points from the target performance parameter set to curve fitting software; In the curve fitting software, the plotting function of multiple Y-axis curves is selected. The fan flow rate is used as the common horizontal axis, and the fan static pressure, fan total pressure, motor shaft power, static pressure efficiency and total pressure efficiency are used as different vertical axes to draw a preliminary multi-axis curve. Each curve in the preliminary multi-axis curve graph is smoothed using a B-spline curve fitting method to generate at least one wind turbine characteristic curve.

6. The high-speed wind turbine performance testing method based on magnetic coupling transmission according to claim 1, characterized in that, The method further includes dual-path redundant control of the magnetic coupling drive process of the high-speed wind turbine, specifically including: Obtain synchronization control commands for the first magnetically coupled drive motor and the second magnetically coupled drive motor; According to the synchronous control command, the programmable controller simultaneously controls the first magnetic coupling drive motor and the second magnetic coupling drive motor, so that the first fan impeller connected to the first magnetic coupling drive motor and the second fan impeller connected to the second magnetic coupling drive motor rotate at a preset speed ratio or in opposite directions. First vibration data and second vibration data of the first magnetic coupling drive motor and the second magnetic coupling drive motor are collected respectively during the transmission process. When the first vibration data or the second vibration data exceeds a preset threshold, an alarm signal is generated for switching to single motor operation mode.

7. The high-speed wind turbine performance testing method based on magnetic coupling transmission according to claim 1, characterized in that, The step of acquiring the first test data transmitted from the drive motor side to the wind turbine impeller side based on magnetic coupling transmission further includes: The torque F and speed n of the driven magnetic rotor are measured in real time using a torque and speed measuring instrument integrated on the driven magnetic rotor of the magnetic coupling drive. The real-time load power of the high-speed fan is calculated based on the torque F and the rotational speed n, and the real-time load power is compared with the preset standard load power. When the deviation between the real-time load power and the standard load power exceeds the allowable range, an adjustment command is generated to adjust the output frequency of the inverter on the drive motor side, so as to change the slip of the magnetic coupling drive.

8. A high-speed wind turbine performance testing system based on magnetic coupling drive, characterized in that, It includes a magnetic coupling drive assembly, a multi-source data acquisition assembly, a host computer control assembly, and a curve fitting output assembly that are interconnected; The magnetic coupling transmission assembly includes a drive motor, an active magnetic rotor connected to the output shaft of the drive motor, a driven magnetic rotor coaxially connected to the fan impeller, and an isolation sleeve disposed between the active magnetic rotor and the driven magnetic rotor, for realizing non-contact torque transmission and driving the high-speed fan to operate; The multi-source data acquisition component includes a data acquisition card, a torque and speed sensor, a pressure sensor, a temperature sensor, and a compensated micromanometer; the torque and speed sensor is integrated on the driven magnetic rotor and is used to acquire first test data; the pressure sensor, temperature sensor, and compensated micromanometer are installed in the air duct system of the high-speed fan and are used to acquire second test data. The host computer control component includes a host computer based on an operating system, in which a wind turbine performance testing program runs; the wind turbine performance testing program includes a parameter setting module, a data acquisition module, and a data processing module, used to perform data preprocessing, parameter calculation, and correction steps; The curve fitting output component communicates with the host computer control component and includes a curve fitting software interface or an embedded curve fitting algorithm module, used to execute curve fitting steps to generate and output the target derived characteristic curve.

9. A high-speed wind turbine performance testing system based on magnetic coupling drive according to claim 8, characterized in that, The magnetic coupling drive assembly also includes a frequency converter; The frequency converter is electrically connected to the drive motor and communicatively connected to the host computer control component; it is used to receive speed adjustment commands issued by the host computer control component, change the power frequency output to the drive motor, and thereby adjust the speed of the active magnetic rotor. The torque and speed sensor measures the rotational speed of the driven magnetic rotor in real time and feeds it back to the host computer control component, forming a closed-loop control circuit for precise control of the high-speed fan speed.

10. A high-speed wind turbine performance testing system based on magnetic coupling drive according to claim 8 or 9, characterized in that, The system also includes a dual-fan redundant control unit; The dual-fan redundant control unit includes a programmable controller. The first communication port of the programmable controller is connected to a touch screen, and the second communication port is connected to a computer. The output ports of the programmable controller are respectively connected to the first frequency converter and the second frequency converter. The first frequency converter is used to control the first high-speed fan and its corresponding first magnetic coupling drive assembly, and the second frequency converter is used to control the second high-speed fan and its corresponding second magnetic coupling drive assembly; the programmable controller is configured to perform operations to control the first high-speed fan and the second high-speed fan to rotate forward, reverse, run at high speed, run at medium speed or run at low speed at the same time.

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