Power droop control system of brushless doubly-fed motor

Abstract

The invention discloses a power droop control system of a brushless doubly-fed motor, which relates to the technical field of motor control and is characterized in that real-time locking and high-speed detection of the rotating speed w of a motor rotor are realized by using an encoder, and a rotating speed coordinate system and a control reference are established; arranging a stator-rotor side voltage sensor, a current sensor, a slip frequency sensor and the like and a vibration accelerometer, capturing a multi-point electrical mechanical state, and comparing the state with a standard motor model to obtain state change information; the information acquisition module forms a data set, calculates and dynamically adjusts a droop coefficient and a compensation gain, so that power deviation, total harmonic distortion and voltage deviation are effectively reduced, and the system efficiency is improved; through the generated comprehensive abnormal index and evaluation, motor operation abnormity is judged, dynamic compensation for slip frequency and power factor change is triggered, gain interval setting and state change adjustment are carried out, response time is shortened, and stability of electric energy quality is maintained. The system can quickly respond to load change, and ensures the stability and reliability of the motor in a complex environment.

Description

Technical Field

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

[0002] Power droop control was initially used in power systems to stabilize and adjust the power output of multiple generators, ensuring smooth and reliable power supply. With the development of technology, this control strategy has been widely applied in wind power generation and distributed generation systems to cope with the dynamic changes between power supply and demand.

[0003] However, when applying the power droop control system to a brushless doubly-fed motor, the following technical drawbacks exist: Firstly, the high dependence of this control system on the motor speed may lead to unstable output power during speed fluctuations, affecting the overall system efficiency; Secondly, due to this instability, the system may have insufficient response when facing rapid load changes, causing power quality problems, which further limits its application effect in high-demand variable environments. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the present invention provides a power droop control system for a brushless doubly-fed motor, which solves the technical drawbacks mentioned in the background art.

[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: A power droop control system for a brushless doubly-fed motor, including the following modules: The speed locking module is used to lock the motor rotor speed in real time using an encoder, obtain high-speed top-down speed data, establish a speed coordinate system, and mark the target operating point for subsequent controllers to align with the droop control reference; The multi-parameter measurement module is used to arrange voltage, current, and vibration sensors on the stator and rotor sides of the motor respectively, capture multi-point electrical and mechanical states, compare them with the standard motor characteristic model, obtain multi-dimensional change information of the current operating state, and set the droop gain interval Gp under different working conditions according to the model; The information acquisition module is used to collect and form a first data set using the speed data obtained by the speed locking module and the electrical and mechanical signals of the multi-parameter measurement module; perform online detection on the output power and power quality after droop control, and collect and form a second data set; The droop analysis module calculates the rotational 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 rotational speed deviation factor Sdz, the pressure difference factor Ryzz, and the equipment performance coefficient Sbzz according to proportions a1, a2, and a3 and processes them with the first correction constant A to generate the external environment factor Wjzz, and then correlates the droop coefficient Pdzs with the generated external environment factor Wjzz to generate the comprehensive anomaly index Yczs; The comprehensive control module is used to preset the state threshold V and the evaluation threshold K, determine the power instability defect caused by rotational speed dependence by comparing the rotational speed deviation factor Sdz with the state threshold V, and determine whether the overall operation is abnormal by comparing the comprehensive anomaly index Yczs with the evaluation threshold K, so as to dynamically adjust the droop coefficient and the compensation gain.

[0006] Furthermore, the rotational speed locking module includes a rotational speed detection unit and a synchronization matching unit; The rotational speed detection unit is used to continuously sample the rotor speed w using a high-resolution encoder and digitize it into a rotational speed signal; The synchronization matching unit is used to map the collected rotor speed w to the droop control reference coordinate Sh(x, w), and through the translation and rotation operations of the inverter drive signal, align the controller to the target droop point.

[0007] Furthermore, 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 transformers, the rotor side current sensor, and the frame vibration accelerometer, and use 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 at different power points in the standard model and combine the real-time state change vector max , so as to adjust the gain spacing from injection to droop.

[0008] Furthermore, the information collection module includes a first collection unit, a second collection unit, a third collection unit, and a fourth collection unit; The first collection unit is used to collect and record electrical parameters, including the stator voltage Vs, the stator current Is, the rotor current Ir, the DC bus voltage Vdc, and the slip frequency Δf; The second collection unit is used to collect and record mechanical parameters, including the rotational speed variance σw, the torque fluctuation Tr, and the vibration amplitude Va; The third collection unit is used to collect and record load dynamic parameters, including the power mutation rate Pd, the power factor change ΔPF, and the rapid load change index Lci; The fourth acquisition unit is used to acquire and record the post-control power and power quality parameters, including output power deviation ΔP, total harmonic distortion value THD, voltage deviation ΔV, grid frequency deviation Δfg, power quality index PQI, and dynamic response duration Tresp.

[0009] Furthermore, the droop analysis module includes a mechanical state sub-unit, an electrical state sub-unit, and a device performance sub-unit; The mechanical state sub-unit is used to correlate 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, to obtain the rotational speed deviation factor Sdz, and the calculation formula is:

[0010] Where z, g, h, and a are preset proportional coefficients.

[0011] Furthermore, the electrical state sub-unit is used to correlate the stator voltage change ΔVs with the rotor current change ΔIr, and after dimensionless processing, combined with the DC bus voltage Vdc and the slip frequency Δf, to obtain the pressure difference factor Ryzz, and the calculation formula is:

[0012] Where p, q, r, and s are preset proportional coefficients, and C is the second correction constant.

[0013] Furthermore, the device performance sub-unit is used to correlate the total harmonic distortion value THD, voltage deviation ΔV, grid frequency deviation Δfg, power quality index PQI, and dynamic response duration Tresp, and after dimensionless processing, to obtain the device performance coefficient Sbzz, and the calculation formula is:

[0014] Where b1, b2, b3, b4, and b5 are the preset proportional coefficients of the total harmonic distortion value THD, voltage deviation ΔV, grid frequency deviation Δfg, power quality index PQI, and dynamic response duration Tresp respectively, and L is the third correction constant.

[0015] Furthermore, the droop analysis module is also used to correlate the output power deviation ΔP with the power quality index PQI, and after dimensionless processing, to obtain the droop coefficient Pdzs through calculation.

[0016] Furthermore, the droop analysis module is also used to correlate the external environment factor Wjzz generated by the first analysis unit with the droop coefficient Pdzs generated by the second analysis unit to generate a comprehensive anomaly index Yczs, and the calculation formula is:

[0017] Furthermore, the comprehensive control module includes a first comparison unit and a second comparison unit; The first comparison unit is used to compare the rotational speed deviation factor Sdz with the state threshold V: If the rotational speed deviation factor Sdz ≥ the state threshold V, it is determined that there is an unstable defect in the current motor output power affected by rotational speed fluctuations; If the rotational speed deviation factor Sdz < the state threshold V, it is determined that the above defect does not exist; The second comparison unit is used to compare the comprehensive anomaly index Yczs with the evaluation threshold K: If the comprehensive anomaly index Yczs > the evaluation threshold K, it is determined that the motor is operating abnormally, and the current droop control is stopped, and the correction is performed, including: checking and adjusting the droop coefficient, compensation gain, and control parameters; If the comprehensive anomaly index Yczs ≤ the evaluation threshold K, the current control scheme is maintained without additional processing.

[0018] The present invention provides a power droop control system for a brushless doubly-fed motor. It has the following beneficial effects: (1) For the power droop control system of the brushless doubly-fed motor, through the rotational speed locking module, the encoder is used to lock the rotational speed ω of the motor rotor in real time, realizing the top-down detection of high-speed rotational speed data, and establishing a rotational speed coordinate system and a droop control reference; through the 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, rotational speed variance σw, torque fluctuation Tr, vibration amplitude Va and rapid load change index Lci, are arranged to capture the electrical and mechanical states at multiple points, compare with the standard motor model, and obtain the 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 rotational speed deviation factor Sdz, pressure difference factor Ryzz, equipment performance coefficient Sbzz and external environment factor Wjzz, dynamically adjusts the droop coefficient Pdzs and compensation gain, effectively reduces the output power deviation ΔP, total harmonic distortion THD, voltage deviation ΔV, grid frequency deviation Δfg and power quality index PQI, and improves the system efficiency; (2) For the power droop control system of the brushless doubly-fed motor, in addition, this technical solution generates a comprehensive anomaly index Yczs by associating the droop coefficient Pdzs with the external environment factor Wjzz through the second data set, compares it with the evaluation threshold K, and judges the abnormal operation of the motor; triggers the dynamic compensation of the slip frequency Δf, power mutation rate Pd and power factor change ΔPF, realizes the setting of the gain interval and the adjustment of the real-time state change, and reduces the actual droop gain difference ΔG max , shortens the dynamic response duration Tresp and maintains the stability of power quality, can quickly respond to load changes, and ensures the stability and reliability of the motor in a high-demand variable environment. Description of the Drawings

[0019] Figure 1 It is a schematic diagram of the frame structure of a power droop control system for a brushless doubly-fed motor according to the present invention. Detailed Embodiments

[0020] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0021] Embodiment 1 Please refer to Figure 1 , the present invention provides a power droop control system for a brushless doubly-fed motor, including the following modules: The speed locking module is used to lock the speed of the motor rotor in real time by using an encoder, obtain high-speed top-down speed data, establish a speed coordinate system, and mark the target operating point for subsequent controllers to align with the droop control reference; The multi-parameter measurement module is used to arrange voltage, current, and vibration sensors on the stator and rotor sides of the motor respectively, capture the electrical and mechanical states at multiple points, and compare them with the standard motor characteristic model to obtain the multi-dimensional change information of the current operating state, and set the droop gain spacing Gp under different working conditions according to the model; The information acquisition module is used to collect and form a first data set by using the speed data obtained by the speed locking module and the electrical and mechanical signals of the multi-parameter measurement module; perform on-line detection of the output power and power quality after droop control, and collect and 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 ratios a1, a2, and a3 and processes them through the first correction constant A to generate the external environment factor Wjzz, and then correlates the droop coefficient Pdzs with the generated external environment factor Wjzz to generate the comprehensive anomaly index Yczs; The comprehensive control module is used to preset the state threshold V and the evaluation threshold K, judge the power instability defect caused by speed dependence by comparing the speed deviation factor Sdz with the state threshold V, and determine whether the overall operation is abnormal by comparing the comprehensive anomaly index Yczs with the evaluation threshold K, so as to dynamically adjust the droop coefficient and the compensation gain.

[0022] Furthermore, the specific calculation formula of the external environment factor Wjzz is as follows:

[0023] A represents the first correction constant; In this embodiment, the speed locking module realizes real-time locking of the motor rotor speed through precise encoder measurement and analysis, ensures high-precision acquisition of speed data, and performs target marking in the speed coordinate system to optimize the directivity of subsequent control; The multi-parameter measurement module comprehensively captures the motor state through multi-position arrangement of voltage, current and vibration sensors, compares and analyzes multi-dimensional change information with the standard model, sets the droop gain spacing Gp under different working conditions, and realizes precise power adjustment; The information acquisition module forms the first data set by integrating speed data and electromechanical signals, and generates the second data set in combination with the online detection of power output and power quality to ensure the integrity and real-time of the data; The droop analysis module uses comprehensive analysis to calculate the speed deviation factor Sdz, the pressure difference factor Ryzz and the equipment performance coefficient Sbzz, generates the external environment factor Wjzz through weighted processing, and combines it with the droop coefficient Pdzs to generate the comprehensive anomaly index Yczs to ensure the comprehensiveness and accuracy of the analysis; Under the effective setting of the state threshold V and the evaluation threshold K, the comprehensive control module dynamically adjusts the operation strategy of the system by comparing the speed deviation factor Sdz and the comprehensive anomaly index Yczs, compensates for power instability in time and adjusts the gain to ensure the efficient and stable operation of the motor.

[0024] Embodiment 2 The speed locking module includes a 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 synchronization matching unit is used to map the collected rotor speed w to the droop control reference coordinate Sh(x, w), and through the translation and rotation operations of the inverter drive signal, align the controller with the target droop point.

[0025] 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 stator-side voltage and current transformers, rotor-side current sensors and frame vibration accelerometers, and use 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 max to adjust the gain spacing from injection to droop.

[0026] In this embodiment, first, the rotational speed locking module includes a rotational speed detection unit and a synchronization matching unit. The rotational speed detection unit continuously samples the rotational speed ω of the rotor through a high-resolution encoder, and digitally processes it to obtain a real-time rotational speed signal. This one-sided writing method enhances the accuracy and real-time performance of rotational speed data acquisition. Then, the synchronization matching unit maps the acquired rotational speed signal to the droop control reference coordinate Sh(x, ω), and controls the translation and rotation of the inverter execution signal to calibrate the controller to the target droop point. This step ensures the control accuracy.

[0027] Secondly, there 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 voltage and current transformers installed on the stator side, current sensors on the rotor side, and a frame 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 enhances the state monitoring ability by using advanced data analysis means. The gain spacing setting unit sets the droop gain spacing Gp according to different power points of the standard model, and calculates the actual droop gain difference ΔG max and then adjusts the control strategy to optimize the power transmission efficiency.

[0028] These steps form a progressive relationship in the technical solution. From high-speed rotational speed acquisition, precise matching to multi-parameter monitoring and intelligent data analysis, a perfect power control and optimization system is constructed, reflecting the innovation of the technical implementation. By clearly supplementing and restricting technical features, the problems of power instability and insufficient response that may occur in the existing droop control in the face of rotational speed fluctuations and load changes are solved, significantly improving the power quality and system adaptability. This technical solution can be directly implemented and is significantly different from the existing technology. It is optimized by using real-time signal processing and intelligent algorithms, and the effective technical path ensures the practical feasibility of the application.

[0029] Embodiment 3 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 acquire 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 acquire and record mechanical parameters, including rotational speed variance σω, torque fluctuation Tr, and vibration amplitude Va; The third acquisition unit is used to acquire 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 acquire and record the power after control and power quality parameters, including output power deviation ΔP, total harmonic distortion value THD, voltage deviation ΔV, power grid frequency deviation Δfg, power quality index PQI, and dynamic response duration Tresp.

[0030] The droop analysis module includes a mechanical state subunit, an electrical state subunit, and a device performance subunit; The mechanical state subunit is used to correlate 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, to obtain the rotational speed deviation factor Sdz. The calculation formula is:

[0031] where z, g, h, and a are preset proportionality coefficients.

[0032] The electrical state subunit is used to correlate the stator voltage change ΔVs with the rotor current change ΔIr, and after dimensionless processing, combined with the DC bus voltage Vdc and the slip frequency Δf, to obtain the pressure difference factor Ryzz. The calculation formula is:

[0033] where p, q, r, and s are preset proportionality coefficients, and C is the second correction constant.

[0034] The device performance subunit is used to correlate the total harmonic distortion value THD, voltage deviation ΔV, power grid frequency deviation Δfg, power quality index PQI, and dynamic response duration Tresp, and after dimensionless processing, to obtain the device performance coefficient Sbzz. The calculation formula is:

[0035] where b1, b2, b3, b4, and b5 are the preset proportionality coefficients of the total harmonic distortion value THD, voltage deviation ΔV, power grid frequency deviation Δfg, power quality index PQI, and dynamic response duration Tresp respectively, and L is the third correction constant.

[0036] The droop analysis module is also used to correlate the output power deviation ΔP with the power quality index PQI, and after dimensionless processing, to obtain the droop coefficient Pdzs through calculation. The calculation formula is:

[0037] where w1, w2 are preset proportionality coefficients, and R is the fourth correction constant.

[0038] The droop analysis module is also used to correlate the external environment factor Wjzz generated by the first analysis unit with the droop coefficient Pdzs generated by the second analysis unit to generate a comprehensive anomaly index Yczs. The calculation formula is:

[0039] 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; 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; 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; 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; 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; 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; 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. The second acquisition unit focuses on recording mechanical parameters and records mechanical changes in detail to assist in condition assessment; The third acquisition unit then focuses on capturing load dynamic parameters to reflect the impact of load changes on system dynamics in real time; The fourth acquisition unit records power output and power quality parameters in the post-control stage, providing quantitative data on the control effect.

[0040] 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.

[0041] Example 4 The integrated control module includes a first comparison unit and a second comparison unit; The first comparison unit is used to compare the rotational speed deviation factor Sdz with the state threshold V: If the rotational speed deviation factor Sdz ≥ the state threshold V, it is determined that there is an unstable defect in the current motor output power affected by rotational speed fluctuations; If the rotational speed deviation factor Sdz < the state threshold V, it is determined that there is no such defect; The second comparison unit is used to compare the comprehensive anomaly index Yczs with the evaluation threshold K: If the comprehensive anomaly index Yczs > the evaluation threshold K, it is determined that the motor is operating abnormally, and the current droop control is stopped, and the correction is performed, including: checking and adjusting the droop coefficient, compensation gain, and control parameters; If the comprehensive anomaly index Yczs ≤ the evaluation threshold K, the current control scheme is maintained without additional processing.

[0042] In this embodiment, the comprehensive control module is used to ensure the power stability and anomaly detection during the operation of the brushless doubly-fed motor, specifically including the first comparison unit and the second comparison unit. First, the first comparison unit is designed to compare the rotational speed deviation factor Sdz with the preset state threshold V in real time. If the rotational speed deviation factor Sdz is greater than or equal to the state threshold V, it is determined that there is an unstable defect in the motor output power affected by rotational speed fluctuations, and the solution recommends immediately checking the motor rotational speed and power output signal for correction; If the rotational speed deviation factor Sdz is less than the state threshold V, it is determined that there is no such unstable defect, and the current control strategy is continued. In the following steps, the second comparison unit is used to evaluate the comprehensive anomaly index Yczs and the evaluation threshold K. If the comprehensive anomaly 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 the system returns to normal operation; if the comprehensive anomaly index Yczs is less than or equal to the evaluation threshold K, it means that the system operation meets the expectations, and the existing control scheme is maintained without additional adjustment. This technical solution enables the system to accurately identify the abnormal state of the motor and make real-time improvement adjustments by setting specific threshold parameters and corresponding control module actions, effectively improving the stability and response efficiency of the motor in a complex operating environment. The design of this solution has fully considered the deficiencies of the existing technology and, combined with the innovative method of preset threshold control, has achieved significant improvements compared to traditional control methods and has a practical implementation path.

[0043] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A power droop control system for a brushless doubly-fed machine, characterized in that It includes the following modules: The rotational speed locking module is used to lock the rotational speed of the motor rotor in real time by using an encoder, obtain high-speed top-down rotational speed data, establish a rotational speed coordinate system, and mark the target operating point for subsequent controllers to align with the droop control reference; The multi-parameter measurement module is used to arrange voltage, current and vibration sensors on the stator and rotor sides of the motor respectively, capture the electrical and mechanical states at multiple points, and compare them with the standard motor characteristic model to obtain the multi-dimensional change information of the current operating state, and set the droop gain spacing Gp under different working conditions according to the model; The information acquisition module is used to collect and form a first data set by using the rotational speed data obtained by the rotational speed locking module and the electrical and mechanical signals of the multi-parameter measurement module; Online detect the output power and power quality after droop control, and collect and form a second data set; The droop analysis module calculates the rotational 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 rotational speed deviation factor Sdz, the pressure difference factor Ryzz and the equipment performance coefficient Sbzz according to the ratios a1, a2 and a3 and processes them through the first correction constant A to generate the external environment factor Wjzz, and then correlates the droop coefficient Pdzs with the generated external environment factor Wjzz to generate the comprehensive anomaly index Yczs; The comprehensive control module is used to preset the state threshold V and the evaluation threshold K, judge the power instability defect caused by rotational speed dependence by comparing the rotational speed deviation factor Sdz with the state threshold V, and determine whether the overall operation is abnormal by comparing the comprehensive anomaly index Yczs with the evaluation threshold K, so as to dynamically adjust the droop coefficient and the compensation gain.

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

3. A power droop control system for 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 transformers, the rotor side current sensor and the frame vibration accelerometer, and compare the current multi-dimensional state with the standard motor model by using a deep learning model to obtain the state change vector; The gain spacing setting unit is configured to calculate an actual droop gain difference ΔG based on a droop gain spacing Gp at different power points in a standard model and in combination with a real-time state change vector max , so as to adjust the gain spacing from injection to droop.

4. A power droop control system for 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 the stator voltage Vs, the stator current Is, the rotor current Ir, the DC bus voltage Vdc and the slip frequency Δf; The second acquisition unit is used to acquire and record mechanical parameters, including rotational speed variance σw, torque fluctuation Tr, and vibration amplitude Va; The third acquisition unit is used to acquire 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 acquire 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 duration Tresp.

5. A power droop control system for a brushless doubly-fed motor according to claim 4, wherein: The droop analysis module includes a mechanical state sub-unit, an electrical state sub-unit, and a device performance sub-unit; The mechanical state sub-unit is used to correlate the torque fluctuation Tr with the power mutation rate Pd, and after dimensionless processing, combined with the vibration amplitude Va and the rapid load change index Lci, to obtain the rotational speed deviation factor Sdz, and the calculation formula is: Where z, g, h, and a are preset proportionality coefficients.

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

7. A power droop control system for a brushless doubly-fed machine according to claim 6, characterized in that: The device performance sub-unit is used to correlate the total harmonic distortion value THD, voltage deviation ΔV, grid frequency deviation Δfg, power quality index PQI, and dynamic response duration Tresp, and after dimensionless processing, to obtain the device performance coefficient Sbzz, and the calculation formula is: Where b1, b2, b3, b4, and b5 are the preset proportionality coefficients of the total harmonic distortion value THD, voltage deviation ΔV, grid frequency deviation Δfg, power quality index PQI, and dynamic response duration Tresp respectively, and L is the third correction constant.

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

9. A power droop control system for a brushless doubly-fed machine according to claim 8, characterized in that: The droop analysis module is also used to correlate the external environment factor Wjzz generated by the first analysis unit with the droop coefficient Pdzs generated by the second analysis unit to generate a comprehensive anomaly index Yczs, and the calculation formula is: 。 10. A power droop control system for a brushless doubly-fed machine according to claim 9, characterized in that: The comprehensive control module includes a first comparison unit and a second comparison unit; The first comparison unit is used to compare the rotational speed deviation factor Sdz with the state threshold V: If the rotational speed deviation factor Sdz ≥ state threshold V, it is determined that the current motor output power has an unstable defect affected by rotational speed fluctuation; If the rotational speed deviation factor Sdz < state threshold V, it is determined that there is no such defect; The second comparison unit is used to compare the comprehensive anomaly index Yczs with the evaluation threshold K: If the comprehensive anomaly index Yczs > evaluation threshold K, it is determined that the motor is operating abnormally, the current droop control is stopped, and the correction is executed, including: checking and adjusting the droop coefficient, compensation gain, and control parameters; If the comprehensive anomaly index Yczs ≤ the evaluation threshold K, the current control scheme is maintained without additional processing.

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