153 results about "Torque coefficient" patented technology

The invention provides a servo motor real-time adaptive control method and system based on artificial intelligence, and the method comprises the steps: injecting a tiny excitation signal into a servo motor, collecting temperature and electromagnetic response data under different working conditions, and constructing a multi-dimensional information data set; performing real-time reasoning on the relationship between the temperature gradient and the magnetic path characteristics by using deep transfer learning to obtain multi-dimensional parameter deviation vectors such as stator flux linkage unbalance degree, permanent magnet flux weakening degree and torque coefficient change; generating a multi-scale compensation strategy through a physical enhancement reinforcement learning method and the multi-dimensional parameter deviation vector; and carrying out Lie group transformation processing on the control law under a differential geometric framework, and realizing accurate compensation on the temperature gradient effect through a dual-channel-dual-time scale framework. According to the method, heterogeneous sensing and multi-dimensional compensation strategies are adopted, the problem that the control precision of a traditional method is insufficient under the complex temperature gradient condition is solved, and the high-precision motion control performance is maintained under the dynamic working condition that the temperature distribution of the motor is rapidly changed.

The invention provides a wind turbine generator blade pneumatic unbalance monitoring method and system based on a torque coefficient, and belongs to the technical field of data processing. Real-time operation data of a wind turbine generator under various operation conditions are collected, time sequence correlation processing is carried out on the real-time operation data, and the wind turbine generator blade pneumatic unbalance monitoring method and system based on the torque coefficient are obtained. A torque coefficient time sequence containing continuous timestamp marks and corresponding wind speed fluctuation characteristics are generated, pneumatic deviation analysis is constructed, a theoretical expected value and an actual measurement value of a torque coefficient are dynamically compared, and an initial imbalance index is generated; calling a pre-trained error compensation network to carry out environmental interference factor elimination processing on the initial imbalance index, and outputting a corrected imbalance index after environmental interference elimination; and then, constructing a blade pneumatic state evaluation model based on the result, and generating a blade pneumatic unbalance monitoring result containing an unbalance level and an early warning suggestion. According to the invention, the accuracy of the monitoring result can be improved.

The invention relates to the field of automatic control, in particular to an electric actuator control system and an electric actuator thereof, which comprise a working condition parameter detection module, a working condition matching module, a torque adjusting module, a valve control module, an overload protection module, a protection performance detection module, a protection performance analysis module and a management database, the torque coefficient corresponding to the valve type is obtained according to valve type matching, the expected torque value of the valve is obtained by combining the torque coefficient corresponding to the fluid parameter, the valve torque value is adjusted accordingly, the deviation distance of the valve detection point is obtained through the coordinate position, and therefore the valve position is adjusted. Whether the electric actuator is overloaded or not is judged and processed by analyzing the load degree of the electric actuator, the protection performance of the electric actuator is obtained by analyzing the protection performance parameters of the electric actuator and fed back, accurate control and adjustment are achieved, and the safety and stability of the system are enhanced.

The invention discloses a wind tunnel continuous force measurement test method, and belongs to the technical field of wind tunnel force measurement tests. In order to solve the problem that the precision of a wind tunnel continuous force measurement test is not high when the Mach number is large, the method comprises the steps that a wind tunnel test supporting system, a force measurement test balance and a test model are installed in a wind tunnel, and a windless test is carried out to obtain windless test data; performing a wind test, and collecting wind tunnel test data of different train tests; processing to obtain the load of the test model under the action of the wind tunnel test section airflow; converting a force vector and a torque vector under a balance coordinate system into a force vector and a torque vector under a test model body shafting and a force vector and a torque vector under a wind tunnel airflow shafting through conversion of a coordinate axis system; obtaining a force coefficient vector and a torque coefficient vector under a shaft system of the test model body and a force coefficient vector and a torque coefficient vector under a shaft system of wind tunnel airflow; a curve of aerodynamic force changing along with the angle of attack and a curve of torque coefficient changing along with the angle of attack of the test model are obtained through fitting with a local weighted linear regression method.

The invention discloses an active flow control system for aircraft wake flow optimization, and relates to the technical field of aircraft wake flow optimization, and the system comprises a monitoring module which is used for obtaining a trailing vortex induced velocity based on an H-B trailing vortex induced velocity model; the acquisition module is used for calculating the thrust change quantity of the unmanned aerial vehicle for washing the wake flow on the aerial carrier during fixed straight and level flight; the optimization module is used for optimizing the unmanned aerial vehicle cluster based on a particle swarm optimization algorithm and calculating the optimized trailing vortex induced velocity variation and the rolling torque coefficient control ratio; and the evaluation module is used for evaluating a wake flow optimization effect based on fuzzy reasoning according to the rolling torque coefficient control ratio and the trailing vortex velocity variable quantity, and improving a particle swarm optimization algorithm according to an evaluation result. Through reasonable wake flow resistance reduction optimization, the energy consumption of the unmanned aerial vehicle in the flight process can be effectively reduced, the endurance time is prolonged, and the problem that the wake flow generated by an aerial carrier in the prior art affects the flight resistance and the flight safety of the unmanned aerial vehicle is solved.

The invention discloses a multivariable self-adaptive belt deviation rectification control method and system based on intelligent visual perception. The method comprises the steps that S1, the actual position of a belt is detected through an intelligent visual perception total module; s2, comparing the detected actual position of the belt with a belt position set value to obtain position deviation, and inputting the position deviation into a PI controller to obtain accurate position deviation control output; s3, comparing the position deviation control output with a belt offset obtained by observing the current of a deviation correction motor through a state observer to obtain an actual deviation correction amount, and further obtaining an input control law; s4, inputting the input control law into a state space model to obtain a correction signal of the correction motor; and S5, motor current is output according to the deviation rectifying signal, the torque of the deviation rectifying motor is obtained through torque coefficient calculation, and a belt deviation rectifying device is driven to rectify the deviation of the belt. The belt deviation rectifying device can efficiently and accurately rectify the deviation of the belt.

The invention provides a vehicle sliding energy recovery control method and device, a medium and a product, and relates to the technical field of automobiles. The method comprises the following steps: in response to monitoring that a vehicle meets a sliding energy recovery cycle working condition, obtaining an average sliding deceleration of the vehicle in a previous sliding energy recovery cycle working condition; according to the average sliding deceleration, the sliding energy recovery torque coefficient of the vehicle under the current sliding energy recovery cycle working condition is determined; based on the sliding energy recovery torque coefficient, the target sliding energy recovery torque of the vehicle under the current sliding energy recovery cycle working condition is determined; and the target sliding energy recovery torque is adopted, and a motor of the vehicle is controlled to conduct sliding energy recovery under the current sliding energy recovery cycle working condition. According to the invention, the sliding energy recovery efficiency of the vehicle is improved.

The invention discloses a vehicle control method and device, a vehicle and a storage medium, and relates to the technical field of vehicle control. The vehicle control method comprises the steps that when a vehicle is in a target scene, the accumulated duration of the vehicle in the target scene and a first distance corresponding to the vehicle are obtained, a first torque is determined according to the accumulated duration, a first torque coefficient is determined according to the first distance, and a torque compensation value is determined according to the first torque and the first torque coefficient; and determining an output torque according to the torque compensation value and the basic torque, wherein the output torque is used for controlling the running speed and the running acceleration of the vehicle. Wherein the accumulated time length can represent the adaptation condition of the vehicle to the target scene, the first distance can represent the operation range of torque adjustment of the vehicle, and according to the scheme, the scene where the vehicle is located, the adaptability of the vehicle to the current scene and the operability range of the vehicle are integrated; therefore, the power control of the vehicle under the complex road condition is more accurate and stable, and the overall driving experience is improved.

The invention discloses a robot joint servo motor torque coefficient correction method, and relates to the field of robots, an adjustable load device is installed at the tail end of a mechanical arm, a target joint of the mechanical arm is controlled to move, and the current value of a servo motor is measured when the target joint is in the constant-speed movement stage; the load mass, the mass center position and the joint angle are obtained and substituted into the robot dynamic model, and the gravitational torque acting on the target joint by the robot is obtained through calculation; the position of the load device installed on the mechanical arm is changed, the current value of the servo motor of the target joint in the constant-speed motion stage is measured, the gravitational torque is calculated, and the gravitational torque of the target joint in different load positions is obtained; and obtaining a torque coefficient sequence according to the corresponding relationship between the gravitational torque and the joint torque, fitting the sequence data based on a least square method, and calculating to obtain a torque coefficient. According to the scheme, the size of the load can be adjusted at will by means of the adjustable load device, and the motor torque coefficient of the mechanical arm servo motor which is accurately measured and corrected is rapidly measured.

The embodiment of the invention relates to the field of wind power generation, and provides a power increasing and efficiency increasing control method and device of a wind generating set, a terminal and a medium. Obtaining a first torque coefficient determined by the target wind generating set according to a historical torque coefficient set; determining a target pitch angle of the target generator set according to the first pitch angle and a first reference pitch angle sent by a controller; determining a target torque coefficient of the target generator set according to the first torque coefficient and a first reference torque coefficient sent by the controller; and the target pitch angle and the target torque coefficient are adopted to control the target wind generating set, the accuracy of controlling the wind generating set is improved, and then the power generation power and the power generation efficiency of the wind generating set are improved.

The invention discloses a double-fed wind power plant grid-connected system subsynchronous oscillation analysis method based on a complex torque coefficient method. Double-fed wind power plant grid connection has the risk of causing subsynchronous oscillation of a system, and meanwhile, the subsynchronous oscillation characteristic of a thermal power generating unit in the system is possibly influenced. The method comprises the following steps: firstly, dividing each generator set in a system into a to-be-researched generator set and a non-researched generator set, and giving a complex frequency domain model general form of the to-be-researched generator set and the non-to-be-researched generator set suitable for a complex torque coefficient method; secondly, a general form complex frequency domain model of a traditional thermal power generating unit suitable for subsynchronous oscillation analysis of the multi-machine system is given, and a general form complex frequency domain model of a double-fed fan is established; and finally, solving a complex torque coefficient by combining the established generator complex frequency domain model with a system complex frequency domain network equation, and further analyzing the subsynchronous oscillation of the double-fed wind power plant grid-connected system.

The invention relates to the technical field of motor control, and discloses a torque adjustment control method of a magnetic stirrer based on sample characteristics, which comprises the following steps: acquiring an armature three-phase current and a rotor position signal, and converting the armature three-phase current and the rotor position signal into a quadrature-axis actually measured current and a direct-axis actually measured current by utilizing coordinate transformation logic; extracting a magnetic declination estimated value reflecting the phase lag degree of the stirrer based on an electromagnetic coupling model; calculating a magnetic declination change rate according to the magnetic declination estimated value of the continuous sampling period; a transient compensation current is generated by adopting a nonlinear compensation operator and combining a real-time synchronous torque coefficient; according to the invention, the transient characteristics of the magnetic declination are utilized to realize the real-time sensing of the load disturbance, the magnetic coupling slippage caused by the sudden change of the characteristics of the sample is effectively inhibited, and the stability of the magnetic declination is improved. And the ineffective temperature rise of the motor is reduced while the system stability is guaranteed.

The present invention relates to a steering control method and an apparatus. The steering control method comprises: on the basis of the current hand force of a driver, a vehicle speed, a steering wheel angle and a steering wheel angular speed, obtaining a demanded alignment torque so as to perform auxiliary control on the alignment of a vehicle, comprising: on the basis of the turning direction of the steering wheel and the current hand force of the driver, obtaining an alignment torque coefficient; on the basis of the vehicle speed, the steering wheel angle and the steering wheel angular speed, obtaining an initial demanded alignment torque; and, on the basis of the alignment torque coefficient and the initial demanded alignment torque, obtaining the demanded alignment torque. The steering control method ameliorates the problem of inconsistency of alignment speeds and alignment residual angles of the left side and the right side of a vehicle electro-hydraulic coupling steering system, and can effectively reduce takeover impacts on hands of drivers in alignment processes.

The invention discloses an air density fused fan optimal torque coefficient online optimization method and system, belongs to the technical field of wind turbine generator control, and solves the technical problems that torque coefficients are fixed, dynamic air density changes cannot be adapted, and unit individual performance differences cannot be compensated in the prior art. The method comprises the following steps: constructing an air density-oriented adaptive Markov decision process model, and obtaining a state vector according to the air density; constructing an intelligent agent architecture based on a double-delay depth deterministic strategy gradient, wherein the intelligent agent architecture comprises a strategy network, two value networks and corresponding target network clusters; training and optimizing the agent architecture based on the double-delay depth deterministic strategy gradient; and performing forward propagation calculation on the state vector by adopting the trained agent architecture to obtain an optimal torque coefficient in the current state. The method is suitable for a wind turbine generator torque control scene.

The invention provides a wing body fusion layout high-low speed aerodynamic inverse design method based on a conditional diffusion model, and the method comprises the steps: selecting five profiles of a wing body fusion layout for optimization inverse design through employing a wing body fusion layout three-dimensional airfoil profile design method; and physical condition parameters such as aerodynamic force and torque coefficients are embedded in the conditional denoising diffusion probability model, so that a prediction result can reflect a physical mechanism more accurately. The aerodynamic performance can be effectively improved through the designed three-dimensional configuration, and the reversely-designed airfoil profile meets the preset aerodynamic performance requirement. Compared with the prior art, on the premise that the same optimization performance is achieved, the training time is greatly shortened to 7.5 hours from the original several weeks, and the design efficiency is improved.

This application belongs to the technical field of bolt fastener tightening torque coefficient measurement in low-temperature environments, specifically relating to a device and method for measuring the bolt fastener tightening torque coefficient at -196℃. The device includes a low-temperature environment chamber, a bolt clamp, a nut tightening tool, and an axial force gauge. The low-temperature environment chamber has a liquid nitrogen injection hole. The bolt clamp is installed inside the chamber to clamp the head of the test bolt. One end of the nut tightening tool is located outside the chamber and is used to connect a tightening drive tool and its torque sensor; the other end extends into the chamber to hold the test nut and tighten it onto the bolt thread. The axial force gauge is fitted onto the outer circumference of the bolt thread to measure the preload between the bolt and the nut.

The utility model discloses a torque coefficient detector for measuring a high-strength bolt, and relates to the technical field of bolt torque detection, in particular to a torque coefficient detector for measuring a high-strength bolt, which comprises a base and a high-strength bolt, a fixing mechanism is arranged on the base and is used for fixing high-strength bolts with different specifications, and the high-strength bolt is arranged on the base. The fixing mechanism comprises an installation assembly which comprises a shaft frame arranged on the machine base, a shaft body rotationally installed on the shaft frame, a barrel fixed to the front end of the shaft body, a rotary knob lead screw rotationally installed in the barrel, a circular plate slidably installed in the barrel, three guide blocks fixed to the rear end of the circular plate and distributed in the circumferential direction, three mounting pins which are arranged in a sliding manner and are distributed circumferentially penetrate through the cylinder body; when high-strength bolts of different specifications are measured, the positioning assembly can be adaptively disassembled, assembled and replaced, and one positioning assembly can be adapted to the high-strength bolts of three different specifications.

The invention provides a steering wheel torque control method and device, a medium and a vehicle, and relates to the technical field of intelligent drive.The method comprises the steps that under the condition that the transverse control state of the vehicle is a target driving state, first torque acting on a steering wheel by a driver and second torque output by an auxiliary driving system are obtained in real time; determining a torque coefficient of the auxiliary driving system according to a manual torque threshold lower limit, a manual torque threshold upper limit and the first torque; determining a total torque output by a steering wheel according to the first torque, the second torque and a torque coefficient of the auxiliary driving system; and controlling the vehicle to run according to the total torque output by the steering wheel. When the driver and the auxiliary driving system jointly participate in control, torque output of the auxiliary driving system can be dynamically adjusted, so that smooth man-machine interaction and vehicle control are achieved.

The application discloses a lane keeping assistance control method and device, electronic equipment and storage medium. The lane keeping assistance control method comprises the following steps: determining a corresponding first torque coefficient TF according to an LKA intervention stage lka ; determining a second torque coefficient TF according to a control intention of a driver drv ; and determining a target torque coefficient TF according to the first torque coefficient TF lka and the second torque coefficient TF drv . The method has the beneficial effect that the first torque coefficient TF is determined according to the LKA intervention stage lka , the second torque coefficient TF is determined according to the control intention of the driver drv , and the target torque coefficient TF is determined according to the first torque coefficient TF lka and the second torque coefficient TF drv , so that a better man-machine co-driving effect can be achieved by adjusting an EPS application torque coefficient in real time without adding additional hardware devices.

Provided are a method for controlling a motor, a controller, a fitness bike and a storage medium. The method includes: acquiring a vehicle parameter of a fitness bike and an operating parameter of the fitness bike in a present control cycle; determining first power applied to the fitness bike by a user according to the present torque current, the torque coefficient and the present rotational speed; determining second power applied to the fitness bike by the overall resistance according to the overall resistance, the wheel radius and the present rotational speed; and determining a given rotational speed of the motor in the next control cycle according to the total weight, the wheel radius, the first power and the second power, and controlling the motor to operate according to the given rotational speed in the next control cycle.

The present invention provides a vehicle anti-skidding method, device, electronic device and storage medium. The method includes obtaining tire speed and motor speed, obtaining a first judgment value and a second judgment value based on the tire speed and the motor speed, and if the first judgment value is an abnormal value, determining that the vehicle is in an abnormal state at this time, receiving a torque processing request, the torque processing request including a torque processing direction, the torque processing direction is determined according to the second judgment value, detecting the current torque direction of the vehicle, and if the torque processing direction is the same as the current torque direction, obtaining a target torque coefficient based on the tire speed, obtaining a target torque request based on the target torque coefficient and the torque processing request, and executing the target torque request. The method prevents the vehicle from skidding forward and improves driving comfort.

The invention relates to the technical field of new energy commercial vehicles, and particularly provides a hybrid commercial vehicle energy recovery control method, system and device and a storage medium, and the method comprises the steps: collecting and processing multi-source information including brake pedal opening, vehicle state and chassis system signals in real time, and obtaining predictive road condition information in front of the vehicle; identifying the intention of a driver according to the multi-source information and the predictive road condition information; whether energy recovery is allowed or not is judged based on the intention of the driver and the pre-recognized driving style, the optimal motor negative torque is calculated through a model prediction control algorithm when energy recovery is allowed, and the torque coefficient is subjected to self-adaptive correction in combination with the load and the road condition obtained in real time; and based on the optimal motor negative torque and the self-adaptive corrected torque coefficient, collaborative distribution of motor braking force and hydraulic braking force is carried out, and an execution instruction is output. Through multi-source information fusion and predictive control, the comprehensive performance of the hybrid commercial vehicle energy recovery system is effectively improved.

The present invention discloses a structure for unloading a threaded bolt in a high-strength bolt torque coefficient test, comprising a nut baffle, an unloading cylinder provided on the top of the nut baffle, a sealing door installed on the front end surface of the unloading cylinder, a first threaded tube fixedly connected to the top of the nut baffle, a rotating handle fixedly connected to the outer walls of both sides of the first threaded tube, an unloading seat fixedly connected to the inner wall of the bottom end of the unloading cylinder, an unloading groove provided on the top of the unloading seat, a through hole provided at the bottom center of the unloading groove and the center of the nut baffle, a test bolt inserted into the groove, a test nut threadedly connected to the test bolt, an unloading mechanism provided above the unloading seat, and a clamping mechanism provided at the bottom of the nut baffle. The present invention can effectively solve the problem of threaded bolts being difficult to unload in a high-strength bolt torque coefficient test, saves time and effort, has low labor intensity, and has high stability and is not easy to slip.

The present application belongs to the field of wind power generation technology, and particularly relates to a wind power generator optimal torque coefficient correction method and device. First, when the wind power generator exits the maximum power tracking state, a plurality of data pairs of the wind power generator in the maximum power tracking state are obtained, one data pair including a wind energy utilization rate and a tip speed ratio corresponding to the wind energy utilization rate; then, the data pairs with the wind energy utilization rate greater than that in the balance state are selected from the obtained data pairs, and a standard tip speed ratio is calculated according to all the tip speed ratios in the selected data pairs; finally, the optimal torque coefficient is corrected by using the difference between the standard tip speed ratio and the tip speed ratio in the balance state, so that the error gradually decreases, and the optimal torque coefficient can be corrected slowly with the changes of the environment and the wind power generator parameters, and the optimal torque coefficient can be kept optimal for a long time by self-correction adjustment, and the power generation performance of the wind power generator is improved.

The application relates to the technical field of motor control, and discloses a torque adjustment control method for a magnetic stirrer based on sample characteristics, which comprises the following steps: acquiring three-phase armature currents and a rotor position signal, converting the three-phase armature currents and the rotor position signal into measured cross-axis currents and measured direct-axis currents by using a coordinate transformation logic; extracting a magnetic deflection angle estimation value reflecting the phase lag degree of a stirrer based on an electromagnetic coupling model; calculating a magnetic deflection angle change rate according to the magnetic deflection angle estimation value in a continuous sampling period; generating a transient compensation current by using a nonlinear compensation operator and combining a real-time synchronous torque coefficient; and superimposing the transient compensation current on the cross-axis current instruction to generate a compensation torque by fine-tuning the rotating angular velocity of the armature magnetic field. The application realizes real-time sensing of load disturbance by using the transient characteristics of the magnetic deflection angle, effectively suppresses magnetic force coupling slip caused by sudden changes in sample characteristics, guarantees the stability of the system, and reduces the invalid temperature rise of the motor.

This invention belongs to the field of electronic digital data processing and discloses a propulsion modeling method for FPSOs based on Modelica, comprising the following steps: S1: Modeling the propulsion coefficient model of the propeller, including calculating the following parameters: thrust coefficient, thrust torque coefficient, thrust gain coefficient, and thrust torque gain coefficient; S2: Modeling the propeller performance model, including calculating the following parameters: wake coefficient, advance number, thrust loss coefficient, and relative rotational efficiency; S3: Based on the results of steps S1 and S2, outputting the thrust and thrust torque of the propeller, thereby obtaining the propulsion efficiency of the propeller. This method can comprehensively simulate the thrust and torque variation characteristics of the propeller under different operating conditions through a discrete dynamic modeling approach, thus providing accurate simulation support for the dynamic response of FPSO systems in complex marine environments.

The invention discloses a method, a device and equipment for determining a torque coefficient of a wind turbine generator and a medium. The method comprises the steps that to-be-processed data of a target wind turbine generator are obtained, the to-be-processed data are preprocessed to obtain to-be-corrected data, and the to-be-processed data at least comprise wind speed data, rotating speed data and power data; based on the factory power curve of the target wind turbine generator, correcting wind speed data in the to-be-corrected data to obtain target processing data; based on the target processing data and a wind turbine generator torque coefficient calculation model, determining a target torque gain coefficient from a plurality of preset torque gain coefficients of the target wind turbine generator; and determining a target torque coefficient based on a product of the target torque gain coefficient and a preset torque coefficient of the target wind turbine generator. According to the scheme, the setting accuracy of the torque coefficient can be improved, and then the overall operation effect of the wind turbine generator is improved.

The present application relates to a torque control method, apparatus, computer equipment and storage medium in a low-speed risk scenario. The control method includes obtaining vehicle status parameters based on vehicle messages, and determining whether the vehicle is in a low-speed risk scenario based on a comparison of the status parameters with preset conditional parameters; if so, determining the torque coefficient in the low-speed risk scenario, including determining a first limiting coefficient from a preset first mapping relationship based on the vehicle speed and the throttle opening change rate, and determining the first limiting coefficient as the torque coefficient. Based on the torque coefficient, the original torque of the vehicle in the current cycle is limited to obtain a target torque, so as to control the vehicle based on the target torque. The method of the present application is used to improve the problem of risks caused by improper throttle operation when new energy vehicles are stationary or at low speed in the prior art.

The present invention provides a self-following exoskeleton control device, which relates to the technical field of device control and includes: obtaining the target parameters of the exoskeleton in the current cycle; determining the movement direction of the patient in the current cycle based on the target parameters; determining the first driving torque coefficient of the exoskeleton based on the movement direction in the current cycle, the movement direction in the previous cycle of the current cycle, and the count value of the state machine counter in the previous cycle of the current cycle, and determining the second driving torque coefficient of the exoskeleton based on the rotational speed of the motor; determining the driving torque of the exoskeleton in the current cycle based on the first driving torque coefficient, the second driving torque coefficient, and the working gear of the exoskeleton in the current cycle, thus solving the technical problem that the existing exoskeleton control method cannot provide self-following training for patients.

This invention provides an active power regulation method and system that considers instantaneous energy distribution efficiency, relating to the field of wind power grid-connected control technology. The invention establishes a synchronized operation system model based on the system parameters of the wind turbine and synchronous machine, determines the total inherent active power regulation coefficient and synchronous torque coefficient of the system to obtain the conservative instantaneous power of the synchronized system; introduces an active power regulation proportional coefficient into the model and constructs an instantaneous energy function during synchronized system oscillation, analyzing the instantaneous energy distribution law between synchronized units; after a disturbance, the instantaneous energy distribution efficiency is determined based on the instantaneous energy of the synchronous machine, a target efficiency is given, and the active power regulation proportional coefficient is solved based on the total instantaneous energy conservation, thereby calculating the design value of the active power regulation coefficient and setting it in the active power controller of the wind turbine unit, so that when the system detects frequency or power disturbances, the wind turbine participates in regulation according to the design value, thereby improving the power oscillation suppression capability.