A 100kW-class low-speed composite structure energy-saving motor and drive control method

Abstract

The present invention relates to the field of motor control and discloses a 100kW-class low-speed composite structure energy-saving motor and a drive control method. The method first detects the rotor speed, stator current, bearing temperature and vibration signal of the motor in real time through a sensor module; then calculates the change value of the rotor speed in multiple consecutive monitoring cycles through a data analysis module, and obtains a comprehensive volatility after accumulating the change value, and then compares the comprehensive volatility with a preset volatility threshold range; then, judges the current operating state of the motor based on the comparison result; the motor operating state includes: stable operation, overload operation, and light load operation; finally, if the motor is in a stable operating state, maintains the current drive parameters; if the motor is in an overload operating state or a light load operating state, adjusts the current drive parameters until the motor is in a stable operating state, thereby realizing dynamic monitoring and adjustment of the motor drive parameters to maintain the motor in a stable state.

Description

Technical Field

[0001] The present invention relates to the field of motor control, and in particular to a 100kW-class low-speed composite structure energy-saving motor and a drive control method. Background Art

[0002] In the industrial field, motors are key power equipment, and their operating efficiency, stability, and energy consumption levels directly affect the economy and reliability of production systems. This is especially true in high-power applications such as 100kW and low-speed applications, such as large fans, water pumps, compressors, and low-speed transmission systems. Motors usually need to cope with complex load changes and harsh working environments.

[0003] Traditional motor drive control methods rely primarily on fixed parameter adjustments or simple threshold protection mechanisms, making them difficult to adapt to dynamic load demands. For example, low-speed motors experience large load fluctuations during operation, and traditional control methods, often designed for steady-state operation, are unable to respond to rapid changes in speed and load in real time. Relying solely on current threshold protection during overload conditions can lead to regulation lag, while fixed power reduction strategies under light loads may not meet actual demand, resulting in energy waste or unstable operation. Summary of the Invention

[0004] The purpose of the present invention is to provide a 100kW-class low-speed composite structure energy-saving motor and a drive control method to solve the above technical problems.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A drive control method for a 100kW-class low-speed composite structure energy-saving motor comprises the following steps:

[0007] S1, real-time detection of the motor's supply voltage, rotor speed, stator current, bearing temperature, winding temperature and vibration signal through the sensor module;

[0008] S2. Calculating the change in rotor speed over multiple consecutive monitoring periods through a data analysis module, accumulating the change to obtain a comprehensive volatility, and then comparing the comprehensive volatility with a preset volatility threshold range;

[0009] S3. Determine the current operating state of the motor based on the comparison results. The motor operating states include: stable operation, overload operation, and light load operation.

[0010] S4. If the motor is in a stable operating state, maintain the current drive parameters;

[0011] If the motor is in an overloaded or underloaded state, adjust the current drive parameters until the motor is in a stable operating state.

[0012] As a further technical solution, the specific method of comparing the comprehensive volatility with the preset volatility threshold range in S2 includes:

[0013] If the comprehensive fluctuation rate is within the preset fluctuation rate threshold range, it is determined that the motor is running stably;

[0014] If the comprehensive fluctuation rate is higher than the upper limit of the threshold range, it is determined that the motor is overloaded or mechanically disturbed;

[0015] If the comprehensive fluctuation rate is lower than the lower limit of the threshold range, it is determined that the motor is in a light load state.

[0016] As a further technical solution, the comparison result of the comprehensive fluctuation rate is corrected in S2 by combining the stator current, winding temperature and vibration signal, specifically including:

[0017] If the comprehensive fluctuation rate is higher than the upper limit of the threshold range and the stator current exceeds the rated value, it is determined to be overload operation;

[0018] If the comprehensive fluctuation rate is higher than the upper limit of the threshold range but the stator current does not exceed the rated value, and there is a characteristic frequency component in the vibration signal spectrum, it is determined to be a mechanical disturbance;

[0019] If the comprehensive fluctuation rate is lower than the lower limit of the threshold range and the stator current is lower than the light load threshold, it is determined to be light load operation; among which, the light load threshold is 20%-35% of the stator rated current.

[0020] As a further technical solution, the specific calculation method of the comprehensive volatility is: ;

[0021] For the The average rotor speed of the monitoring cycle, is the average speed of the previous monitoring period; is the rated speed of the motor; is the number of continuous monitoring cycles, is a piecewise function, when hour, ,when hour, ; For the The rotor speed change value of a monitoring cycle.

[0022] As a further technical solution, The rotor speed change value of each monitoring cycle The specific calculation method is:

[0023] ;

[0024] For the The instantaneous speed of the rotor within a monitoring cycle, and are the start and end time of the monitoring period, is the weight coefficient.

[0025] As a further technical solution, the specific steps of adjusting the current driving parameters in S4 include:

[0026] During overload operation, if the supply voltage is increased to a first preset ratio of the rated supply voltage and the comprehensive fluctuation rate still cannot return to the threshold range, the overload protection mechanism is triggered, the output power is reduced to a second preset ratio of the rated output power, and an alarm is issued;

[0027] During light load operation, if the comprehensive fluctuation rate is still lower than the lower limit of the threshold range after the PWM duty cycle drops to the third preset ratio, it switches to the intermittent pulse drive mode and starts and stops the motor alternately at a preset cycle.

[0028] As a further technical solution, the method for adjusting the detection frequency of the sensor module in S1 is:

[0029] The initial detection frequency is the first fundamental frequency;

[0030] When the comprehensive volatility exceeds the threshold range for multiple consecutive periods, the detection frequency is increased to the second high frequency;

[0031] When the motor resumes stable operation, the detection frequency is gradually reduced to the initial value, and the adjustment step size each time is the preset frequency step size.

[0032] As a further technical solution, the method further includes:

[0033] S5. If the bearing temperature exceeds a first temperature threshold or the vibration signal amplitude continuously exceeds a first time threshold and exceeds a first vibration threshold, the motor is forced to stop and a fault code is marked.

[0034] A 100kW-class low-speed composite structure energy-saving motor, comprising:

[0035] The composite motor body includes a stator winding, a permanent magnet rotor, and a cooling channel; the composite motor body has a built-in sensor module, which includes a Hall sensor, a thermocouple, and an accelerometer;

[0036] The drive control unit is connected to the power converter and realizes drive parameter control by adjusting the PWM duty cycle or output voltage; the drive control unit is embedded with the algorithm of the drive control method and outputs adjustment instructions to the power converter in real time.

[0037] Beneficial effects of the present invention:

[0038] (1) The present invention monitors the multi-dimensional parameters of the motor such as rotor speed, stator current, bearing temperature and vibration signal in real time, and then calculates the comprehensive fluctuation rate in combination with the data analysis module, so as to accurately judge whether the operating state of the motor is stable, overloaded or light-loaded. Compared with the traditional fixed threshold protection mechanism, it can dynamically respond to load changes and improve the stability of the motor under complex working conditions; when the comprehensive fluctuation rate exceeds the preset threshold range, it can quickly distinguish between overload and mechanical disturbance, and take targeted measures such as adjusting the power supply voltage or PWM duty cycle to avoid unstable operation caused by adjustment lag; in addition, through the design of piecewise functions and weight coefficients, the comprehensive fluctuation rate calculation is more in line with the nonlinear characteristics of actual speed changes, further enhancing the accuracy of state judgment. The above dynamic monitoring and adjustment are particularly suitable for low-speed and high-power scenarios, effectively solving the problem of insufficient response of traditional methods when load changes suddenly, ensuring long-term stable operation of the motor.

[0039] (2) The present invention reduces unnecessary energy consumption by adjusting driving parameters under light load conditions, such as reducing the PWM duty cycle or switching to intermittent pulse mode. Compared with traditional motors that often still operate at a fixed power when light load, resulting in energy waste, the present method achieves precise matching of load and power by setting a light load threshold and a dynamic adjustment strategy. When a light load state is detected and the duty cycle adjustment is ineffective, the method automatically switches to the intermittent pulse drive mode, reducing energy consumption by periodic start and stop. At the same time, the overload protection mechanism avoids energy loss caused by rough shutdown by increasing the voltage and limiting the output power in stages. In addition, the dynamic adjustment of the sensor detection frequency reduces the additional energy consumption caused by high-frequency detection while ensuring the real-time data. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The present invention will be further described below with reference to the accompanying drawings.

[0041] Figure 1 A diagram showing the steps of the method of the present invention. DETAILED DESCRIPTION

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0043] See also Figure 1 As shown, the present invention is a drive control method for a 100kW-class low-speed composite structure energy-saving motor, comprising the following steps:

[0044] S1. The sensor module detects the motor's supply voltage, rotor speed, stator current, bearing temperature, winding temperature, and vibration signals in real time. Through multi-sensor collaborative detection, it covers key motor operating indicators, including electrical, mechanical, and thermal conditions, improving the accuracy of state recognition.

[0045] S2. Calculating the change in rotor speed over multiple consecutive monitoring periods through a data analysis module, accumulating the change to obtain a comprehensive volatility, and then comparing the comprehensive volatility with a preset volatility threshold range;

[0046] S3. Determine the current operating state of the motor based on the comparison results. The motor operating states include: stable operation, overload operation, and light load operation.

[0047] S4. If the motor is in a stable operating state, maintain the current drive parameters;

[0048] If the motor is overloaded or underloaded, the current drive parameters are adjusted until the motor stabilizes. Specifically, in an overload state, the supply voltage is increased by 5% at a time, and in a underload state, the input power is reduced by 10% steps based on the PWM duty cycle. Drive parameters are adjusted in real time based on the overall fluctuation rate, allowing the motor to adapt to load changes and improve stability and energy efficiency.

[0049] In this embodiment, in order to solve the problem that traditional motor control methods usually rely on fixed parameters or a single threshold for adjustment, which makes it difficult to cope with the load fluctuation of low-speed, high-power motors under complex working conditions; by real-time collection of multi-dimensional parameters such as rotor speed, stator current, temperature and vibration, and calculating the comprehensive fluctuation rate, it can fully reflect the operating status of the motor. Compared with static threshold protection, this method can dynamically respond to load changes; when the motor is in an overload state, when the comprehensive fluctuation rate exceeds the upper threshold and the current exceeds the standard, the drive parameters such as increasing the voltage are immediately adjusted to avoid motor stalling or overheating due to adjustment lag; when the motor is in a light-load state, it identifies that the fluctuation rate is lower than the lower threshold and combined with the current light-load threshold, automatically reduces the PWM duty cycle or switches to intermittent pulse mode to reduce invalid energy consumption; the above-mentioned dynamic adjustment can improve the stability of the motor under variable load conditions, and is particularly suitable for scenarios with frequent load fluctuations such as fans and water pumps.

[0050] The specific method of comparing the comprehensive volatility with the preset volatility threshold range in S2 includes:

[0051] If the comprehensive fluctuation rate is within the preset fluctuation rate threshold range, it is determined that the motor is running stably;

[0052] If the comprehensive fluctuation rate is higher than the upper limit of the threshold range, it is determined that the motor is overloaded or mechanically disturbed;

[0053] If the comprehensive fluctuation rate is lower than the lower limit of the threshold range, it is determined that the motor is in a light load state.

[0054] In this embodiment, the fluctuation rate threshold range is set to distinguish between stable, overload and light load states, avoiding the limitations of traditional methods that rely solely on current thresholds. The speed fluctuation rate is combined instead of a single current value to reduce the interference of instantaneous load fluctuations on judgment. The threshold range can be adjusted according to different motor models to enhance the universality of the method.

[0055] In S2, the comparison result of the comprehensive fluctuation rate is corrected by combining the stator current, winding temperature and vibration signal, specifically including:

[0056] If the comprehensive fluctuation rate is higher than the upper limit of the threshold range and the stator current exceeds the rated value, it is determined to be overload operation;

[0057] If the comprehensive fluctuation rate is higher than the upper limit of the threshold range but the stator current does not exceed the rated value, and there is a characteristic frequency component in the vibration signal spectrum, it is determined to be a mechanical disturbance;

[0058] If the comprehensive fluctuation rate is lower than the lower limit of the threshold range and the stator current is lower than the light load threshold, it is determined to be light load operation; among which, the light load threshold is 20%-35% of the stator rated current.

[0059] Combining current and vibration spectrum data can reduce the possibility of misjudgment based on a single fluctuation rate criterion, and distinguish between overload caused by excessive current and mechanical failure caused by abnormal vibration. The light load threshold is clearly defined as 20%-35% of the rated current, providing a quantitative basis for energy-saving control and avoiding excessive power reduction that affects operational stability. Through vibration spectrum analysis, bearing wear mechanical failures can be detected early, extending equipment life.

[0060] In this embodiment, the accuracy of motor state judgment is further improved through multi-parameter fusion analysis; specifically, on the basis of the comprehensive fluctuation rate threshold interval judgment, the stator current and vibration spectrum signal are introduced as auxiliary judgment criteria to achieve a refined distinction of the motor operating state; when the comprehensive fluctuation rate is higher than the upper limit of the threshold interval, the overload operation and mechanical disturbance state are accurately distinguished in combination with whether the stator current exceeds the rated value; when the fluctuation rate is lower than the lower limit of the threshold interval, the light load state is confirmed by comparing the stator current with the light load threshold; the above-mentioned multi-parameter collaborative judgment effectively solves the possible misjudgment problem of a single fluctuation rate indicator, and can more accurately identify various abnormal operating conditions.

[0061] The specific calculation method of the comprehensive volatility is:

[0062] ;

[0063] For the The average rotor speed of the monitoring cycle, is the average speed of the previous monitoring period; is the rated speed of the motor; is the number of continuous monitoring cycles, is a piecewise function, when hour, ,when hour, ; For the The rotor speed change value of a monitoring cycle.

[0064] No. The rotor speed change value of each monitoring cycle The specific calculation method is:

[0065] ;

[0066] For the The instantaneous speed of the rotor within a monitoring cycle, and are the start and end time of the monitoring period, is the weight coefficient.

[0067] In this embodiment, a specific method for calculating the comprehensive fluctuation rate and the speed change value is provided, which provides a scientific quantitative basis for judging the motor state;

[0068] Specifically, through the formula Calculate the comprehensive volatility by taking the speed change value Divide by rated speed , which can eliminate the influence of different motor specifications and make the calculation results comparable; introducing piecewise function When the speed changes slightly, linear accumulation is used to avoid oversensitivity to small fluctuations. When the speed changes significantly, the contribution of abnormal fluctuations is amplified, making it more sensitive to significant speed changes and improving the ability to detect overloads or mechanical failures. Finally, The data of multiple consecutive monitoring cycles are accumulated to reflect the overall trend of speed changes, rather than relying on a single instantaneous value, which enhances the stability of judgment.

[0069] By points Sum and RMS Calculation comprehensively reflects the instantaneous fluctuation and overall trend of the speed, avoiding the deviation of simple arithmetic average; among them, Calculate the absolute cumulative amount of the instantaneous speed value deviating from the mean value to reflect the overall amplitude of the speed fluctuation; Calculate the standard deviation of the speed fluctuation to characterize the degree of dispersion of the fluctuation; by adjusting , 0≤ ≤1, which can flexibly balance the weights of instantaneous fluctuations and long-term trends. When it is close to 1, it focuses on instantaneous impact, such as mechanical jamming; When close to 0, it focuses on long-term stability, such as slow changes in load; piecewise function Linear calculation is performed when there is a small fluctuation, and the weight is increased when there is a large fluctuation, so that it is more sensitive to abnormal conditions. The weight coefficient It allows the calculation focus to be adjusted according to the motor characteristics, such as focusing on instantaneous fluctuations or long-term trends, to enhance the adaptability of the algorithm.

[0070] The specific steps of adjusting the current driving parameters in S4 include:

[0071] During overload operation, if the supply voltage is increased to a first preset ratio of the rated supply voltage and the comprehensive fluctuation rate still cannot return to the threshold range, the overload protection mechanism is triggered, the output power is reduced to a second preset ratio of the rated output power, and an alarm is issued;

[0072] During light load operation, if the comprehensive fluctuation rate is still lower than the lower limit of the threshold range after the PWM duty cycle drops to the third preset ratio, it switches to the intermittent pulse drive mode and starts and stops the motor alternately at a preset cycle.

[0073] For example, during overload operation, if the power supply voltage is increased to 110% of the rated value and the comprehensive fluctuation rate still cannot return to the threshold range, the overload protection mechanism is triggered, the output power is reduced to 80% of the rated value, and an alarm is issued;

[0074] During light load operation, if the comprehensive fluctuation rate is still lower than the lower limit of the threshold range after the PWM duty cycle drops to 30%, it switches to intermittent pulse drive mode, and alternately starts and stops the motor with a cycle of 5 seconds.

[0075] In this embodiment, differentiated drive parameter adjustment strategies are formulated for different abnormal working conditions; when overloaded, the power supply voltage is first attempted to be increased to a preset ratio of the rated value. If ineffective, the overload protection mechanism is triggered, and the output power is reduced in stages to ensure equipment safety; the above-mentioned gradual adjustment method not only avoids production interruptions caused by rough shutdowns, but also effectively prevents equipment damage; for light-load conditions, energy efficiency is optimized by gradually reducing the PWM duty cycle. When adjustment to the preset ratio is still ineffective, it automatically switches to intermittent pulse drive mode, and energy-saving operation is achieved through periodic start and stop; the above-mentioned hierarchical response mechanism maintains production continuity to the maximum extent while ensuring equipment safety, and significantly improves energy utilization efficiency.

[0076] The method for adjusting the detection frequency of the sensor module in S1 is:

[0077] The initial detection frequency is the first fundamental frequency;

[0078] When the comprehensive volatility exceeds the threshold range for multiple consecutive periods, the detection frequency is increased to the second high frequency;

[0079] When the motor resumes stable operation, the detection frequency is gradually reduced to the initial value, and the adjustment step size each time is the preset frequency step size.

[0080] For example, the initial detection frequency is 100 Hz. When the comprehensive fluctuation rate exceeds the threshold range for three consecutive cycles, the detection frequency is increased to 200 Hz. When the motor resumes stable operation, the detection frequency is gradually reduced to the initial value, with each adjustment step being 50 Hz.

[0081] In this embodiment, the initial basic frequency is used for routine monitoring. When an abnormal working condition is detected, the sampling frequency is automatically increased to ensure that more accurate operating data is obtained. After the working condition returns to normal, the detection frequency gradually drops back to the initial value. The above dynamic adjustment mechanism has dual advantages: on the one hand, high-frequency sampling is used to improve monitoring accuracy under abnormal conditions, creating conditions for accurate judgment and rapid response; on the other hand, the sampling frequency is reduced under normal working conditions, effectively reducing resource consumption. It not only meets the monitoring needs under different working conditions, but also optimizes the overall operating efficiency. It is particularly suitable for industrial scenarios that require long-term continuous operation.

[0082] The method further comprises:

[0083] S5: If the bearing temperature exceeds the first temperature threshold or the vibration signal amplitude continuously exceeds the first time threshold and the first vibration threshold, the motor is forced to shut down and a fault code is marked. For example: If the bearing temperature exceeds 90°C or the vibration signal amplitude continuously exceeds 5mm / s² for 10 seconds, the motor is forced to shut down and a fault code is marked.

[0084] In this embodiment, when it is detected that the bearing temperature exceeds the preset threshold or the vibration signal continues to exceed the standard, a forced shutdown operation will be immediately executed and a fault code will be marked; the above protection measures, first, effectively prevent equipment overheating and damage through temperature threshold monitoring; second, potential mechanical failures are discovered in a timely manner through vibration monitoring; finally, fault code recording provides a clear basis for subsequent maintenance diagnosis; thereby providing a final safety guarantee for the motor system, avoiding the occurrence of major equipment accidents, shortening troubleshooting and repair time, and improving the reliability and maintainability of the equipment.

[0085] A 100kW-class low-speed composite structure energy-saving motor, comprising:

[0086] The composite structure motor body includes a stator winding, a permanent magnet rotor and a cooling channel; the composite structure motor body has a built-in sensor module, which includes a Hall sensor, a thermocouple and an accelerometer; the composite structure motor body adopts mature technologies in the existing technology, and the connection relationship and position relationship between the stator winding, the permanent magnet rotor and the cooling channel in the composite structure motor body also adopt existing technologies, which can be implemented, so they are not described in detail; the Hall sensor is used to detect the rotor speed and stator current, the thermocouple is used to detect the bearing temperature and the winding temperature, and the accelerometer is used to detect the vibration signal;

[0087] The drive control unit is connected to the power converter and realizes drive parameter control by adjusting the PWM duty cycle or output voltage; the drive control unit is embedded with the algorithm of the drive control method and outputs adjustment instructions to the power converter in real time.

[0088] It should be noted that the calculation formulas and various parameters involved in the calculations in the present invention have been dimensionally processed in advance, and the process of dimensionless processing is well known in the industry and will not be described here.

[0089] The above is a detailed description of an embodiment of the present invention. However, the content described is only a preferred embodiment of the present invention and should not be considered to limit the scope of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A drive control method for a 100kW class low speed composite structure energy-saving motor, characterized in that: The steps include: S1, real-time detection of the motor's supply voltage, rotor speed, stator current, bearing temperature, winding temperature and vibration signal through the sensor module; S2. Calculating the change in rotor speed over multiple consecutive monitoring periods through a data analysis module, accumulating the change to obtain a comprehensive volatility, and then comparing the comprehensive volatility with a preset volatility threshold range; S3. Determine the current operating state of the motor based on the comparison results. The motor operating states include: stable operation, overload operation, and light load operation. S4. If the motor is in a stable operating state, maintain the current drive parameters; If the motor is in an overloaded or underloaded state, adjust the current drive parameters until the motor is in a stable operating state; The specific method of comparing the comprehensive volatility with the preset volatility threshold range in S2 includes: If the comprehensive fluctuation rate is within the preset fluctuation rate threshold range, it is determined that the motor is running stably; If the comprehensive fluctuation rate is higher than the upper limit of the threshold range, it is determined that the motor is overloaded or mechanically disturbed; If the comprehensive fluctuation rate is lower than the lower limit of the threshold range, it is determined that the motor is in a light load state; In S2, the comparison result of the comprehensive fluctuation rate is corrected by combining the stator current, winding temperature and vibration signal, specifically including: If the comprehensive fluctuation rate is higher than the upper limit of the threshold range and the stator current exceeds the rated value, it is determined to be overload operation; If the comprehensive fluctuation rate is higher than the upper limit of the threshold range but the stator current does not exceed the rated value, and there is a characteristic frequency component in the vibration signal spectrum, it is determined to be a mechanical disturbance; If the comprehensive fluctuation rate is lower than the lower limit of the threshold range and the stator current is lower than the light load threshold, it is determined to be light load operation; the light load threshold is 20%-35% of the stator rated current; The specific calculation method of the comprehensive volatility is: ; For the The average rotor speed of the monitoring cycle, is the average speed of the previous monitoring cycle; is the rated speed of the motor; is the number of continuous monitoring cycles, is a piecewise function, when hour, ,when hour, ; For the The rotor speed change value of each monitoring cycle; No. The rotor speed change value of each monitoring cycle The specific calculation method is: ； For the The instantaneous speed of the rotor within a monitoring cycle, and are the start and end time of the monitoring period, is the weight coefficient.

2. The driving control method of the 100kW class low speed composite structure energy-saving motor according to claim 1, characterized in that: The specific steps of adjusting the current driving parameters in S4 include: During overload operation, if the supply voltage is increased to a first preset ratio of the rated supply voltage and the comprehensive fluctuation rate still cannot return to the threshold range, the overload protection mechanism is triggered, the output power is reduced to a second preset ratio of the rated output power, and an alarm is issued; During light load operation, if the comprehensive fluctuation rate is still lower than the lower limit of the threshold range after the PWM duty cycle drops to the third preset ratio, it switches to the intermittent pulse drive mode and starts and stops the motor alternately at a preset cycle.

3. The driving control method of the 100kW class low speed composite structure energy-saving motor according to claim 1, characterized in that: The method for adjusting the detection frequency of the sensor module in S1 is: The initial detection frequency is the first fundamental frequency; When the comprehensive volatility exceeds the threshold range for multiple consecutive periods, the detection frequency is increased to the second high frequency; When the motor resumes stable operation, the detection frequency is gradually reduced to the initial value, and the adjustment step size each time is the preset frequency step size.

4. The driving control method of the 100kW class low speed composite structure energy-saving motor according to claim 1, characterized in that: The method further comprises: S5. If the bearing temperature exceeds a first temperature threshold or the vibration signal amplitude continuously exceeds a first time threshold and exceeds a first vibration threshold, the motor is forced to stop and a fault code is marked.

5. A 100kW class low speed composite structure energy-saving motor, characterized in that: include: Composite structure motor body, including stator winding, permanent magnet rotor and cooling channel; The composite structure motor body has a built-in sensor module, which includes a Hall sensor, a thermocouple and an accelerometer; A drive control unit is connected to the power converter and realizes drive parameter control by adjusting the PWM duty cycle or output voltage; the drive control unit is embedded with the algorithm of the drive control method described in any one of claims 2-4 and outputs adjustment instructions to the power converter in real time.

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