A power droop control system for a brushless doubly-fed motor

Abstract

The present invention discloses a power droop control system for a brushless doubly-fed motor, which relates to the technical field of motor control. An encoder is used to achieve real-time locking and high-speed detection of the motor rotor speed w, and a speed coordinate system and control reference are established. Sensors for voltage, current, slip frequency, and the like, as well as vibration accelerometers, are arranged on the stator and rotor sides to capture multi-point electrical and mechanical states, and compare them with a standard motor model to obtain state change information. An information acquisition module forms and calculates a data set, dynamically adjusts the droop coefficient and compensation gain, effectively reducing power deviation, total harmonic distortion, and voltage deviation, thereby improving system efficiency. By generating and evaluating a comprehensive abnormality index, abnormal motor operation is determined, dynamic compensation for slip frequency and power factor changes is triggered, gain spacing is set, and state change adjustments are made, thereby shortening response time and maintaining stable power quality. This system can quickly respond to load changes, ensuring the stability and reliability of the motor in complex environments.

Description

Technical Field

[0001] The present invention relates to the technical field of motor control, and in particular to a power droop control system of a brushless doubly-fed motor. Background Art

[0002] Power droop control was originally used in power systems to stabilize and adjust the power output of multiple generators, ensuring smooth and reliable power supply. With technological advancements, this control strategy has been widely adopted in wind power and distributed generation systems to address the dynamic fluctuations between power supply and demand.

[0003] However, when applying the power droop control system to the brushless doubly-fed motor, there are the following technical disadvantages:

[0004] First, the control system's high dependence on motor speed may lead to unstable output power when the speed fluctuates, affecting the efficiency of the overall system;

[0005] Secondly, due to this instability, the system may not respond adequately to rapid load changes, causing power quality issues, which further limits its application effectiveness in environments with high demand fluctuations. Summary of the Invention

[0006] In view of the deficiencies in the prior art, the present invention provides a power droop control system for a brushless doubly-fed motor, which solves the technical shortcomings mentioned in the background art.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: A power droop control system for a brushless doubly-fed motor, comprising the following modules:

[0008] The speed lock module is used to use the encoder to lock the motor rotor speed in real time, obtain high-speed overhead speed data, establish a speed coordinate system, and mark the target operating point so that the subsequent controller can align it with the droop control reference;

[0009] The multi-parameter measurement module is used to place voltage, current, and vibration sensors on the stator and rotor sides of the motor, respectively, to capture multi-point electrical and mechanical conditions and compare them with the standard motor characteristic model to obtain multi-dimensional change information of the current operating state. The droop gain spacing Gp under different operating conditions is then set based on the model.

[0010] The information acquisition module is used to collect the speed data obtained by the speed locking module and the electrical and mechanical signals of the multi-parameter measurement module to form a first data set; and to perform online detection on the output power and power quality after droop control to form a second data set;

[0011] The droop analysis module calculates the speed deviation factor Sdz, the pressure difference factor Ryzz, and the equipment performance coefficient Sbzz based on the first data set; calculates the droop coefficient Pdzs based on the second data set; weights the speed deviation factor Sdz, the pressure difference factor Ryzz, and the equipment performance coefficient Sbzz according to the proportions a1, a2, and a3 and processes them with the first correction constant A to generate an external environmental factor Wjzz; then associates the droop coefficient Pdzs with the generated external environmental factor Wjzz to generate a comprehensive abnormality index Yczs;

[0012] The integrated control module is used to preset the state threshold V and the evaluation threshold K. It determines the power instability defect caused by speed dependence by comparing the speed deviation factor Sdz with the state threshold V, and determines whether the overall operation is abnormal by comparing the comprehensive abnormality index Yczs with the evaluation threshold K, thereby dynamically adjusting the droop coefficient and compensation gain.

[0013] Furthermore, the speed locking module includes a speed detection unit and a synchronization matching unit;

[0014] The speed detection unit is used to continuously sample the rotor speed w using a high-resolution encoder and digitize it into a speed signal;

[0015] The synchronous matching unit is used to map the collected rotor speed w to the droop control reference coordinate Sh(x, w), and align the controller with the target droop point through the translation and rotation operations of the inverter drive signal.

[0016] Furthermore, the multi-parameter measurement module includes a multi-point capture unit and a gain spacing setting unit;

[0017] The multi-point capture unit is used to synchronously detect electrical and mechanical signals through the stator-side voltage and current transformer, the rotor-side current sensor, and the base vibration accelerometer. It uses a deep learning model to compare the current multi-dimensional state with the standard motor model to obtain the state change vector;

[0018] The gain spacing setting unit is used to calculate the actual droop gain difference ΔG based on the droop gain spacing Gp of different power points in the standard model and the real-time state change vector. max , to adjust the gain spacing from injection to droop.

[0019] Furthermore, the information acquisition module includes a first acquisition unit, a second acquisition unit, a third acquisition unit and a fourth acquisition unit;

[0020] The first acquisition unit is used to collect and record electrical parameters, including stator voltage Vs, stator current Is, rotor current Ir, DC bus voltage Vdc and slip frequency Δf;

[0021] The second acquisition unit is used to collect and record mechanical parameters, including speed variance σw, torque fluctuation Tr, and vibration amplitude Va;

[0022] The third acquisition unit is used to collect and record load dynamic parameters, including power mutation rate Pd, power factor change ΔPF, and rapid load change index Lci;

[0023] The fourth acquisition unit is used to collect and record the power and power quality parameters after control, including output power deviation ΔP, total harmonic distortion value THD, voltage deviation ΔV, grid frequency deviation Δfg, power quality index PQI and dynamic response time Tresp.

[0024] Furthermore, the droop analysis module includes a mechanical state subunit, an electrical state subunit, and an equipment performance subunit;

[0025] The mechanical state subunit is used to associate the torque fluctuation Tr with the power mutation rate Pd, and after dimensionless processing, combined with the vibration amplitude Va and the load rapid change index Lci, obtain the speed deviation factor Sdz. The calculation formula is:

[0026]

[0027] Among them, z, g, h and a are preset scale factors.

[0028] Furthermore, the electrical state subunit is used to associate the stator voltage change ΔVs with the rotor current change ΔIr, and after dimensionless processing, combines the DC bus voltage Vdc and the slip frequency Δf to obtain the pressure difference factor Ryzz. The calculation formula is:

[0029]

[0030] Wherein, p, q, r and s are preset proportional coefficients, and C is the second correction constant.

[0031] Furthermore, the equipment performance subunit is used to associate the total harmonic distortion value THD, voltage deviation ΔV, grid frequency deviation Δfg, power quality index PQI and dynamic response time Tresp, and obtain the equipment performance coefficient Sbzz after dimensionless processing. The calculation formula is:

[0032]

[0033] Among them, b1, b2, b3, b4 and b5 are preset proportional coefficients of the total harmonic distortion value THD, voltage deviation ΔV, grid frequency deviation Δfg, power quality index PQI and dynamic response time Tresp respectively, and L is the third correction constant.

[0034] Furthermore, the droop analysis module is also used to associate the output power deviation ΔP with the power quality index PQI, and obtain the droop coefficient Pdzs through dimensionless processing by calculation.

[0035] Furthermore, the droop analysis module is further configured to associate the external environmental factor Wjzz generated by the first analysis unit with the droop coefficient Pdzs generated by the second analysis unit to generate a comprehensive abnormality index Yczs, which is calculated as follows:

[0036]

[0037] Further, the integrated control module includes a first comparison unit and a second comparison unit;

[0038] The first comparison unit is used to compare the speed deviation factor Sdz with the state threshold V:

[0039] If the speed deviation factor Sdz ≥ the state threshold V, it is determined that the current motor output power is unstable due to the speed fluctuation;

[0040] If the speed deviation factor Sdz is less than the state threshold V, it is determined that the above-mentioned defect does not exist;

[0041] The second comparison unit is used to compare the comprehensive abnormality index Yczs with the evaluation threshold K:

[0042] If the comprehensive abnormality index Yczs> the evaluation threshold K, the motor is judged to be operating abnormally, the current droop control is stopped, and correction is performed, including: checking and adjusting the droop coefficient, compensation gain and control parameters;

[0043] If the comprehensive abnormality index Yczs ≤ the evaluation threshold K, the current control scheme is maintained without additional processing.

[0044] The present invention provides a power droop control system for a brushless doubly-fed motor. It has the following beneficial effects:

[0045] (1) A power droop control system of a brushless doubly fed motor uses an encoder to lock the motor rotor speed ω in real time through a speed locking module, realizes overhead detection of high-speed speed data, and establishes a speed coordinate system and a droop control reference; through a multi-parameter measurement module, the stator voltage Vs, stator current Is, rotor current Ir, DC bus voltage Vdc and corresponding parameters such as slip frequency Δf, speed variance σw, torque fluctuation Tr, vibration amplitude Va and rapid load change index Lci are arranged to capture multi-point electrical and mechanical states, compare with the standard motor model, and obtain multi-dimensional change information of the current operating state; the information acquisition module further forms a first data set and a second data set, calculates the speed deviation factor Sdz, pressure difference factor Ryzz, equipment performance coefficient Sbzz and external environment factor Wjzz, and dynamically adjusts the droop coefficient Pdzs and compensation gain, effectively reducing the output power deviation ΔP, total harmonic distortion THD, voltage deviation ΔV, grid frequency deviation Δfg and power quality index PQI, thereby improving system efficiency;

[0046] (2) A power droop control system for a brushless doubly fed motor. In addition, the technical solution generates a comprehensive abnormality index Yczs by correlating the droop coefficient Pdzs with the external environmental factor Wjzz through a second data set, and compares it with the evaluation threshold K to determine abnormal operation of the motor; triggers dynamic compensation of the slip frequency Δf, power mutation rate Pd and power factor change ΔPF, realizes gain spacing setting and real-time state change adjustment, and reduces the actual droop gain difference ΔG max , shortening the dynamic response time Tresp and maintaining the stability of power quality, being able to quickly respond to load changes and ensure the stability and reliability of the motor in a high-demand change environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 The figure is a schematic diagram of the framework structure of a power droop control system of a brushless doubly-fed motor according to the present invention. DETAILED DESCRIPTION

[0048] 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 creative efforts are within the scope of protection of the present invention.

[0049] Example 1

[0050] See also Figure 1 The present invention provides a power droop control system for a brushless doubly-fed motor, comprising the following modules:

[0051] The speed lock module is used to use the encoder to lock the motor rotor speed in real time, obtain high-speed overhead speed data, establish a speed coordinate system, and mark the target operating point so that the subsequent controller can align it with the droop control reference;

[0052] The multi-parameter measurement module is used to place voltage, current, and vibration sensors on the stator and rotor sides of the motor, respectively, to capture multi-point electrical and mechanical conditions and compare them with the standard motor characteristic model to obtain multi-dimensional change information of the current operating state. The droop gain spacing Gp under different operating conditions is then set based on the model.

[0053] The information acquisition module is used to collect the speed data obtained by the speed locking module and the electrical and mechanical signals of the multi-parameter measurement module to form a first data set; and to perform online detection on the output power and power quality after droop control to form a second data set;

[0054] The droop analysis module calculates the speed deviation factor Sdz, the pressure difference factor Ryzz, and the equipment performance coefficient Sbzz based on the first data set; calculates the droop coefficient Pdzs based on the second data set; weights the speed deviation factor Sdz, the pressure difference factor Ryzz, and the equipment performance coefficient Sbzz according to the proportions a1, a2, and a3 and processes them with the first correction constant A to generate an external environmental factor Wjzz; then associates the droop coefficient Pdzs with the generated external environmental factor Wjzz to generate a comprehensive abnormality index Yczs;

[0055] The integrated control module is used to preset the state threshold V and the evaluation threshold K. It determines the power instability defect caused by speed dependence by comparing the speed deviation factor Sdz with the state threshold V, and determines whether the overall operation is abnormal by comparing the comprehensive abnormality index Yczs with the evaluation threshold K, thereby dynamically adjusting the droop coefficient and compensation gain.

[0056] Furthermore, the specific calculation formula of the external environmental factor Wjzz is as follows:

[0057]

[0058] A represents the first correction constant;

[0059] In this embodiment, the speed locking module achieves real-time locking of the motor rotor speed through precise encoder measurement and analysis, ensuring high-precision acquisition of speed data and performing target marking in the speed coordinate system to optimize the directionality of subsequent control.

[0060] The multi-parameter measurement module comprehensively captures the motor status through the multi-position arrangement of voltage, current, and vibration sensors. It compares and analyzes multi-dimensional change information with the standard model, sets the droop gain spacing Gp under different operating conditions, and achieves precise power adjustment.

[0061] The information acquisition module integrates speed data and electrical and mechanical signals to form a first data set, and combines this with online detection of power output and power quality to generate a second data set, ensuring data integrity and real-time performance.

[0062] The droop analysis module uses comprehensive analysis to calculate the speed deviation factor Sdz, pressure difference factor Ryzz and equipment performance coefficient Sbzz, and generates the external environment factor Wjzz through weighted processing. It is combined with the droop coefficient Pdzs to generate the comprehensive abnormality index Yczs to ensure the comprehensiveness and accuracy of the analysis;

[0063] Under the effective setting of the state threshold V and the evaluation threshold K, the integrated control module dynamically adjusts the system's operating strategy by comparing the speed deviation factor Sdz with the comprehensive abnormality index Yczs, timely compensates for power instability and adjusts the gain to ensure efficient and stable operation of the motor.

[0064] Example 2

[0065] The speed locking module includes a speed detection unit and a synchronization matching unit;

[0066] The speed detection unit is used to continuously sample the rotor speed w using a high-resolution encoder and digitize it into a speed signal;

[0067] The synchronous matching unit is used to map the collected rotor speed w to the droop control reference coordinate Sh(x, w), and align the controller with the target droop point through the translation and rotation operations of the inverter drive signal.

[0068] The multi-parameter measurement module includes a multi-point capture unit and a gain spacing setting unit;

[0069] The multi-point capture unit is used to synchronously detect electrical and mechanical signals through the stator-side voltage and current transformer, the rotor-side current sensor, and the base vibration accelerometer. It uses a deep learning model to compare the current multi-dimensional state with the standard motor model to obtain the state change vector;

[0070] The gain spacing setting unit is used to calculate the actual droop gain difference ΔG based on the droop gain spacing Gp of different power points in the standard model and the real-time state change vector. max , to adjust the gain spacing from injection to droop.

[0071] In this embodiment, the speed lock module first includes a speed detection unit and a synchronization matching unit. The speed detection unit continuously samples the rotor speed w using a high-resolution encoder and digitizes it to obtain a real-time speed signal. This single-sided approach enhances the accuracy and real-time nature of speed data acquisition. The synchronization matching unit then maps the acquired speed signal to the droop control reference coordinates Sh(x, w) and controls the inverter to translate and rotate the execution signal to calibrate the controller to the target droop point. This step ensures control accuracy.

[0072] The second is the multi-parameter measurement module, which includes a multi-point capture unit and a gain spacing setting unit. The multi-point capture unit obtains electrical and mechanical signals through the voltage and current transformers installed on the stator side, the rotor side current sensor and the base vibration accelerometer; the collected data is compared with the standard motor characteristics through a deep learning model to generate a state change vector. This technical solution uses advanced data analysis methods to enhance state monitoring capabilities. The gain spacing setting unit sets the droop gain spacing Gp according to the different power points of the standard model, and calculates the actual droop gain difference ΔG in combination with the real-time state change vector. max , and then adjust the control strategy to optimize the power transmission efficiency.

[0073] These steps form a progressive technical solution, building a comprehensive power control and optimization system from high-speed speed acquisition and precise matching to multi-parameter monitoring and intelligent data analysis, demonstrating the innovative nature of the technology. Through the clear complementation and limitation of technical features, this solution addresses the power instability and insufficient response that can arise from existing droop control in the face of speed fluctuations and load changes, significantly improving power quality and system adaptability. This technical solution is straightforward to implement and significantly differentiates itself from existing technologies. It utilizes real-time signal processing and intelligent algorithms for optimization, ensuring practical feasibility through an effective technical approach.

[0074] Example 3

[0075] The information acquisition module includes a first acquisition unit, a second acquisition unit, a third acquisition unit and a fourth acquisition unit;

[0076] The first acquisition unit is used to collect and record electrical parameters, including stator voltage Vs, stator current Is, rotor current Ir, DC bus voltage Vdc and slip frequency Δf;

[0077] The second acquisition unit is used to collect and record mechanical parameters, including speed variance σw, torque fluctuation Tr, and vibration amplitude Va;

[0078] The third acquisition unit is used to collect and record load dynamic parameters, including power mutation rate Pd, power factor change ΔPF, and rapid load change index Lci;

[0079] The fourth acquisition unit is used to collect and record the power and power quality parameters after control, including output power deviation ΔP, total harmonic distortion value THD, voltage deviation ΔV, grid frequency deviation Δfg, power quality index PQI and dynamic response time Tresp.

[0080] The droop analysis module includes a mechanical status subunit, an electrical status subunit, and an equipment performance subunit;

[0081] The mechanical state subunit is used to associate the torque fluctuation Tr with the power mutation rate Pd, and after dimensionless processing, combined with the vibration amplitude Va and the load rapid change index Lci, obtain the speed deviation factor Sdz. The calculation formula is:

[0082]

[0083] Among them, z, g, h and a are preset scale factors.

[0084] The electrical state subunit is used to associate the stator voltage change ΔVs with the rotor current change ΔIr, and after dimensionless processing, combines the DC bus voltage Vdc and the slip frequency Δf to obtain the pressure difference factor Ryzz. The calculation formula is:

[0085]

[0086] Wherein, p, q, r and s are preset proportional coefficients, and C is the second correction constant.

[0087] The equipment performance subunit is used to associate the total harmonic distortion value THD, voltage deviation ΔV, grid frequency deviation Δfg, power quality index PQI and dynamic response time Tresp, and obtain the equipment performance coefficient Sbzz after dimensionless processing. The calculation formula is:

[0088]

[0089] Among them, b1, b2, b3, b4 and b5 are preset proportional coefficients of the total harmonic distortion value THD, voltage deviation ΔV, grid frequency deviation Δfg, power quality index PQI and dynamic response time Tresp respectively, and L is the third correction constant.

[0090] The droop analysis module is also used to associate the output power deviation ΔP with the power quality index PQI, and after dimensionless processing, obtain the droop coefficient Pdzs by calculation. The calculation formula is:

[0091]

[0092] Wherein, w1 and w2 are preset proportional coefficients, and R is the fourth correction constant.

[0093] The droop analysis module is also used to associate the external environmental factor Wjzz generated by the first analysis unit with the droop coefficient Pdzs generated by the second analysis unit to generate a comprehensive abnormality index Yczs, which is calculated as follows:

[0094]

[0095] In this embodiment, the external environment factor Wjzz is calculated by weighting and summarizing the speed deviation factor Sdzz, the pressure difference factor Ryzz, and the equipment performance coefficient Sbzz, and normalizing it with the correction constant A to reflect the overall impact of the current control system under external environment changes;

[0096] Used to calculate the speed deviation factor Sdz, by correlating the torque fluctuation Tr and the power mutation rate Pd, while considering the vibration amplitude Va and the load rapid change index Lci, to quantitatively evaluate the impact of speed on power output stability;

[0097] Calculate the differential pressure factor Ryzz by correlating the stator voltage change ΔVs and the rotor current change ΔIr, combined with the DC bus voltage Vdc and the slip frequency Δf, and multiplying by the correction constant C to evaluate the impact of the electrical state change on the control performance;

[0098] Calculate the equipment performance coefficient Sbzz by weighting and summarizing the total harmonic distortion THD, voltage deviation ΔV, grid frequency deviation Δfg, power quality index PQI, and dynamic response time Tresp, and then use the correction constant L to quantitatively evaluate the equipment operation and control effect;

[0099] Calculate the droop coefficient Pdzs by correlating the output power deviation ΔP with the power quality index PQI and multiplying it by the correction constant R to describe the control effectiveness of the droop strategy in actual operation;

[0100] Calculate the comprehensive abnormality index Yczs by multiplying the droop coefficient Pdzs with the external environmental factor Wjzz to evaluate the overall abnormality of the motor under the current operating state, providing a basis for further adjustment and optimization of the control strategy;

[0101] First, the information acquisition module collects comprehensive data through four acquisition units, of which the first acquisition unit is responsible for recording electrical parameters. This step ensures the integrity and real-time recording of electrical data.

[0102] The second acquisition unit focuses on recording mechanical parameters and records mechanical changes in detail to assist in condition assessment;

[0103] The third acquisition unit then focuses on capturing load dynamic parameters to reflect the impact of load changes on system dynamics in real time;

[0104] The fourth acquisition unit records power output and power quality parameters in the post-control stage, providing quantitative data on the control effect.

[0105] This embodiment provides improvements in both significance and technological innovation by refining the implementation steps and combining innovative signal processing and data analysis techniques to ensure a feasible system implementation path.

[0106] Example 4

[0107] The integrated control module includes a first comparison unit and a second comparison unit;

[0108] The first comparison unit is used to compare the speed deviation factor Sdz with the state threshold V:

[0109] If the speed deviation factor Sdz ≥ the state threshold V, it is determined that the current motor output power is unstable due to the speed fluctuation;

[0110] If the speed deviation factor Sdz is less than the state threshold V, it is determined that the above-mentioned defect does not exist;

[0111] The second comparison unit is used to compare the comprehensive abnormality index Yczs with the evaluation threshold K:

[0112] If the comprehensive abnormality index Yczs> the evaluation threshold K, the motor is judged to be operating abnormally, the current droop control is stopped, and correction is performed, including: checking and adjusting the droop coefficient, compensation gain and control parameters;

[0113] If the comprehensive abnormality index Yczs ≤ the evaluation threshold K, the current control scheme is maintained without additional processing.

[0114] In this embodiment, the integrated control module is used to ensure power stability and anomaly detection during the operation of the brushless doubly-fed motor. It specifically includes a first comparison unit and a second comparison unit. First, the first comparison unit is designed to compare the speed deviation factor Sdz with a preset state threshold V in real time. If the speed deviation factor Sdz is greater than or equal to the state threshold V, it is determined that the motor output power is unstable due to speed fluctuations. The solution recommends immediately checking the motor speed and power output signals for correction.

[0115] If the speed deviation factor Sdz is less than the state threshold V, it is determined that the instability defect does not exist and the current control strategy continues. In the next step, the second comparison unit is used to evaluate the comprehensive abnormality index Yczs and the evaluation threshold K. If the comprehensive abnormality index Yczs is greater than the evaluation threshold K, it is determined that the motor is operating abnormally. At this time, the current droop control should be stopped immediately and detailed correction operations should be performed, including checking and adjusting the droop coefficient, increasing the compensation gain, and optimizing the control parameters to ensure that the system returns to normal operation. If the comprehensive abnormality index Yczs is less than or equal to the evaluation threshold K, it means that the system is operating as expected and the existing control scheme is maintained without additional adjustments. By setting specific threshold parameters and corresponding control module actions, this technical solution enables the system to accurately identify abnormal motor conditions and make improvement adjustments in real time, effectively improving the stability and response efficiency of the motor in complex operating environments. The design of this solution has fully taken into account the shortcomings of existing technologies. Combined with the innovative method of preset threshold control, it has achieved significant improvements over traditional control methods and has a practical implementation path.

[0116] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A power droop control system for a brushless doubly-fed motor, characterized in that: Includes the following modules: The speed lock module is used to use the encoder to lock the motor rotor speed in real time, obtain high-speed overhead speed data, establish a speed coordinate system, and mark the target operating point so that the subsequent controller can align it with the droop control reference; The multi-parameter measurement module is used to place voltage, current, and vibration sensors on the stator and rotor sides of the motor, respectively, to capture multi-point electrical and mechanical conditions and compare them with the standard motor characteristic model to obtain multi-dimensional change information of the current operating state. The droop gain spacing Gp under different operating conditions is then set based on the model. The information acquisition module is used to collect the rotational speed data obtained by the rotational speed locking module and the electrical and mechanical signals of the multi-parameter measurement module to form a first data set; Performing online detection on the output power and power quality after droop control, and collecting data to form a second data set; The droop analysis module calculates the speed deviation factor Sdz, the pressure difference factor Ryzz, and the equipment performance coefficient Sbzz based on the first data set; calculates the droop coefficient Pdzs based on the second data set; weights the speed deviation factor Sdz, the pressure difference factor Ryzz, and the equipment performance coefficient Sbzz according to the proportions a1, a2, and a3 and processes them with the first correction constant A to generate an external environmental factor Wjzz; then associates the droop coefficient Pdzs with the generated external environmental factor Wjzz to generate a comprehensive abnormality index Yczs; The integrated control module is used to preset the state threshold V and the evaluation threshold K. It determines the power instability defect caused by speed dependence by comparing the speed deviation factor Sdz with the state threshold V, and determines whether the overall operation is abnormal by comparing the comprehensive abnormality index Yczs with the evaluation threshold K, thereby dynamically adjusting the droop coefficient and compensation gain.

2. The power droop control system of a brushless doubly-fed motor according to claim 1, characterized in that: The rotation speed locking module includes a rotation speed detection unit and a synchronization matching unit; The speed detection unit is used to continuously sample the rotor speed w using a high-resolution encoder and digitize it into a speed signal; The synchronous matching unit is used to map the collected rotor speed w to the droop control reference coordinate Sh(x, w), and align the controller with the target droop point through the translation and rotation operations of the inverter drive signal.

3. The power droop control system of a brushless doubly-fed motor according to claim 2, characterized in that: The multi-parameter measurement module includes a multi-point capture unit and a gain spacing setting unit; The multi-point capture unit is used to synchronously detect electrical and mechanical signals through the stator-side voltage and current transformer, the rotor-side current sensor, and the base vibration accelerometer, and uses a deep learning model to compare the current multi-dimensional state with the standard motor model to obtain the state change vector; The gain spacing setting unit is used to calculate the actual droop gain difference ΔG based on the droop gain spacing Gp of different power points in the standard model and the real-time state change vector. max , to adjust the gain spacing from injection to droop.

4. The power droop control system of a brushless doubly-fed motor according to claim 3, characterized in that: The information acquisition module includes a first acquisition unit, a second acquisition unit, a third acquisition unit and a fourth acquisition unit; The first acquisition unit is used to collect and record electrical parameters, including stator voltage Vs, stator current Is, rotor current Ir, DC bus voltage Vdc and slip frequency Δf; The second acquisition unit is used to collect and record mechanical parameters, including speed variance σw, torque fluctuation Tr, and vibration amplitude Va; The third acquisition unit is used to collect and record load dynamic parameters, including power mutation rate Pd, power factor change ΔPF, and rapid load change index Lci; The fourth acquisition unit is used to collect and record the power and power quality parameters after control, including output power deviation ΔP, total harmonic distortion value THD, voltage deviation ΔV, grid frequency deviation Δfg, power quality index PQI and dynamic response time Tresp.

5. The power droop control system of a brushless doubly-fed motor according to claim 4, characterized in that: The droop analysis module includes a mechanical state subunit, an electrical state subunit, and an equipment performance subunit; The mechanical state subunit is used to associate the torque fluctuation Tr with the power mutation rate Pd, and after dimensionless processing, combines the vibration amplitude Va and the load rapid change index Lci to obtain the speed deviation factor Sdz. The calculation formula is: Among them, z, g, h and a are preset scale factors.

6. The power droop control system of a brushless doubly-fed motor according to claim 5, characterized in that: The electrical state subunit is used to associate the stator voltage change ΔVs with the rotor current change ΔIr, and after dimensionless processing, combine the DC bus voltage Vdc and the slip frequency Δf to obtain the pressure difference factor Ryzz. The calculation formula is: Wherein, p, q, r and s are preset proportional coefficients, and C is the second correction constant.

7. The power droop control system of a brushless doubly-fed motor according to claim 6, characterized in that: The equipment performance subunit is used to associate the total harmonic distortion value THD, voltage deviation ΔV, grid frequency deviation Δfg, power quality index PQI and dynamic response time Tresp, and obtain the equipment performance coefficient Sbzz after dimensionless processing. The calculation formula is: Among them, b1, b2, b3, b4 and b5 are preset proportional coefficients of the total harmonic distortion value THD, voltage deviation ΔV, grid frequency deviation Δfg, power quality index PQI and dynamic response time Tresp respectively, and L is the third correction constant.

8. The power droop control system of a brushless doubly-fed motor according to claim 7, characterized in that: The droop analysis module is further configured to associate the output power deviation ΔP with the power quality index PQI, and perform dimensionless processing to obtain the droop coefficient Pdzs through calculation.

9. The power droop control system of a brushless doubly-fed motor according to claim 8, characterized in that: The droop analysis module is further configured to associate the external environmental factor Wjzz generated by the first analysis unit with the droop coefficient Pdzs generated by the second analysis unit to generate a comprehensive abnormality index Yczs, which is calculated as follows:

10. The power droop control system of a brushless doubly-fed motor according to claim 9, characterized in that: The integrated control module includes a first comparison unit and a second comparison unit; The first comparison unit is used to compare the speed deviation factor Sdz with the state threshold V: If the speed deviation factor Sdz ≥ the state threshold V, it is determined that the current motor output power is unstable due to the speed fluctuation; If the speed deviation factor Sdz is less than the state threshold V, it is determined that the above-mentioned defect does not exist; The second comparison unit is used to compare the comprehensive abnormality index Yczs with the evaluation threshold K: If the comprehensive abnormality index Yczs> the evaluation threshold K, the motor is judged to be operating abnormally, the current droop control is stopped, and correction is performed, including: checking and adjusting the droop coefficient, compensation gain and control parameters; If the comprehensive abnormality index Yczs ≤ the evaluation threshold K, the current control scheme is maintained without additional processing.

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