37results about How to "Improve steady state performance" patented technology

The invention belongs to the related technical field of multi-agent control, and particularly discloses a predetermined performance consistency tracking control method and system for a nonlinear multi-agent system, and the method comprises the steps: constructing a Lyapunov function based on the consistency tracking error of the multi-agent system, and obtaining a control law; consistency tracking control of the multi-agent system is realized according to the control law; wherein the system state quantity in the control law is estimated through a distributed state observer; the distributed state observer is designed through the following method: according to a universal approximation principle, a nonlinear function in a multi-agent system dynamic model is approximated based on a fuzzy logic system, and then the distributed state observer is obtained by combining the multi-agent system dynamic model. According to the method, the precision and robustness of the consistency tracking process of the multi-agent system can be remarkably improved.

The invention discloses a control system for a phase-locked loop-free synchronous tracking mode of a hybrid network following-construction system, and belongs to the technical field of virtual synchronous generator control, phase angle information generated by network construction type control is used for synchronization of a network following type inverter, and synchronization of the network following type inverter is realized without a phase-locked loop. According to the control technology, potential unstable factors caused by the dynamic state of the phase-locked loop can be avoided, and meanwhile, the two inverters of the following network and the constructing network have better transient performance. According to the improved scheme, an ideal voltage source on the direct current side of the inverter is replaced by a boost circuit controlled by a single current loop, and a direct current voltage loop is added to an active loop controlled by a network constructed on the alternating current side. Compared with the control technology provided by the invention, the improvement enables the control technology to have no frequency steady-state deviation and have better transient and steady-state performance.

The invention discloses an unpowered returning-field aircraft spoiler speed control method based on active disturbance rejection control, belongs to the technical field of unmanned aerial vehicle flight control, and aims to solve the problem that high-precision speed control is difficult to realize due to insufficient robustness when a traditional spoiler control strategy faces a complex and changeable environment and unknown disturbance. According to the method, the expansion state observer introducing active disturbance rejection control is adopted, unmodeled dynamics and external disturbance in the system are estimated on line and compensated in real time, the speed deviation is responded in a short time, the adaptive capacity to unknown disturbance is remarkably improved in unpowered return field section spoiler speed control, and the speed control accuracy of the spoiler is improved. According to the method, the dependence on an accurate model is reduced, higher-precision and more robust speed control is realized, and an effective technical means is provided for safe, stable and accurate landing of unmanned aerial vehicles and other unpowered landing aircrafts.

The invention discloses a permanent magnet synchronous motor model prediction control method based on an improved sliding mode disturbance observer. The method comprises the steps of obtaining a current parameter of a permanent magnet synchronous motor at a k moment and a direct current side capacitor voltage of an inverter; calculating a q-axis predicted current iq (k + 1) at the k + 1 moment based on the current parameter; inputting the q-axis predicted current iq (k + 1) at the k + 1 moment and the current rotating speed omega into a sliding mode disturbance observer for estimation to obtain estimation parameters; performing reference voltage prediction based on a given reference rotating speed omega *, a reference current id * and an estimation parameter to obtain a d-axis reference voltage ud * and a q-axis reference voltage uq *; calculating the neutral-point voltage Uo (k + 1) of the inverter at the k + 1 moment by using a value function, wherein the value function is # imgabs0 #, wherein lambda is a balance weight coefficient; controlling the neutral-point potential of the inverter according to the neutral-point voltage Uo (k + 1) of the inverter at the k + 1 moment and the weight coefficient lambda; and controlling the inverter according to the voltage vector selected by the minimum value function. The invention provides a permanent magnet synchronous motor model prediction control method and system based on an improved sliding mode disturbance observer. The permanent magnet synchronous motor model prediction control method and system have better steady-state performance and dynamic performance.

The invention discloses a rotating speed control method of a permanent magnet synchronous motor. The method comprises the following steps: firstly, designing an adaptive switching expansion state observer of the permanent magnet synchronous motor, and adding the adaptive switching expansion state observer into a rotating speed loop control process; and then inputting the rotating speed of the permanent magnet synchronous motor and a q-axis current reference value output by a rotating speed ring into an extended state observer, performing adaptive parameter switching control at the same time, and outputting the rotating speed and an observed value of lumped disturbance after processing so as to continue to perform rotating speed ring control and realize rotating speed control of the permanent magnet synchronous motor. The method can improve the dynamic and steady state performance of the permanent magnet synchronous motor under inertia mismatch, weaken the overshoot of the motor in the dynamic process, greatly accelerate the response speed, reduce the rotation speed fluctuation and oscillation in the adjustment process, reduce the dependence of the parameter design of a motor control system on the rotational inertia parameter, and improve the stability of the motor control system. And meanwhile, the estimation capability of rapid change lumped disturbance is enhanced, and more complex lumped disturbance types can be dealt with.

The application discloses a data-driven optimal control method for a grid-connected inverter. The method comprises the following steps: constructing a DeePC optimization controller of the grid-connected inverter on the grid side; acquiring a data matrix of the grid-connected inverter in a preset historical period and an initial trajectory after a preset adjacent period, inputting the controller, setting parameters for different control targets and types of the grid-connected inverter, outputting an optimal input data sequence after processing, generating a sinusoidal pulse width modulation wave signal and acting on the grid-connected inverter, and realizing data-driven optimal control. The method can automatically perceive and adapt to the dynamic characteristics of the actual power grid through real-time data-driven predictive control, can present or enhance the control behavior of the grid-constructing or grid-following inverter by modifying the cost parameters, can realize multi-mode flexible, optimal and coordinated control, has excellent dynamic response and steady-state performance, is beneficial to safe and stable operation, and improves the ability to adapt to complex and variable operating conditions and power grid strength.

The invention provides a fuzzy-PID (Proportion Integration Differentiation) design method for flight control of an electric tilting rotorcraft. The method comprises the following steps: establishing a flight dynamics model according to the stress and torque of the electric tilting rotorcraft; performing linearization processing on the flight dynamics model; aiming at three flight modes of a helicopter of an electric tilt rotorcraft, a propeller-driven aircraft and tilt transition, an inner and outer double-loop control structure is adopted; for an outer loop of a control system, a fuzzy-PID control method is adopted to carry out control law design, and then a fuzzy-PID controller is constructed according to the control law; aiming at an inner loop of the control system, a PID control method is adopted to carry out control law design, and then a PID controller is constructed according to the control law; and acquiring a difference value between expected input and actual output of the system, and inputting the difference value into the fuzzy-PID controller to adjust parameters of the controller. According to the invention, an ideal flight control effect of the electric tilting rotorcraft is obtained.

This invention discloses a predictive current control method and system for a GaN-based permanent magnet synchronous motor. The method includes: predicting the current of each voltage vector among multiple voltage vectors of the inverter based on a predictive current model to obtain multiple predicted currents; filtering the multiple voltage vectors according to the multiple predicted currents and a first cost function to obtain candidate voltage vectors; determining the duration of action of the candidate voltage vectors; if there are multiple candidate voltage vectors, filtering them according to the duration of action of the multiple candidate voltage vectors and a second cost function to obtain the optimal voltage vector; and controlling the inverter according to the optimal voltage vector and its duration to control the operation of the permanent magnet synchronous motor. This improves the overall steady-state performance of the motor while reducing the computational load, thus lowering the complexity of the control method.

This invention provides a model predictive control method for a six-phase electric drive reconfigurable on-board charging system, belonging to the field of power electronics and electric drive technology. It solves the problems of high current ripple and heavy computational burden on the system. The technical solution includes the following steps: S1: Obtaining the q-axis current setpoint; S2: Obtaining the real-time 0 / 1 axis current setpoint; S3: Acquiring the six-phase current of the six-phase symmetrical permanent magnet synchronous motor; S4: Calculating the predicted current for the next cycle; S5: Selecting the voltage vector for the next cycle; S6: Obtaining the on / off state of the switching transistors in the next cycle; S7: Realizing the operation mode of the six-phase electric drive reconfigurable on-board charging system based on the drive signal of the six-phase inverter. The beneficial effects of this invention are: it can improve the dynamic and steady-state performance of the system while reducing the computational burden and lowering zero-sequence current ripple, and has broad application prospects.

The invention relates to the technical field of robot control, and discloses a man-machine interaction scene-oriented flexible joint preset performance function design method and control system, and the method comprises the steps: building a collaborative robot flexible joint rigid-flexible coupling dynamic model; defining a tracking error, adding a Gaussian kernel function on a traditional preset performance function, and forming a Gaussian kernel-preset performance function as a constraint condition; performing error transformation according to the tracking error and a Gaussian kernel-preset performance function to obtain an unconstrained error; according to the unconstrained error, a virtual control law and an actual control law of a flexible joint nonlinear position controller are designed through a dynamic surface control method; and estimating external interference through the biradial basis function neural network, and replacing an external interference item in the nonlinear position controller with an estimated value to obtain a corrected virtual control law and a corrected actual control law of the nonlinear position controller.

The invention relates to a permanent magnet synchronous motor control system, which comprises a position ring, a speed ring and a current ring, the position ring and the speed ring are connected in parallel to serve as a system outer ring, the current ring is a system inner ring, and an output value after the position ring and the speed ring are connected in parallel is an input value of the current ring; and performing parameter setting on the controllers of the position loop and the speed loop through a frequency domain method. A series connection structure of a position ring and a speed ring in a traditional vector control system is changed into a parallel connection structure, system model simplification is carried out on the parallel connection structure, a system block diagram and a transfer function of the parallel connection structure are obtained, and meanwhile parameter setting is carried out on controllers of the position ring and the speed ring through a frequency domain method. The control system has better steady-state performance and dynamic performance; meanwhile, a higher system type is achieved, and steady-state errors do not exist when ramp signals are input; in addition, the control structure has a simpler optimization scheme, and has greater advantages in subsequent performance optimization.

The application discloses a non-singular fast terminal sliding mode vibration active control method based on a compensation function observer, 1) according to elastic dynamics, a fourth-order modal equation of a four-side fixed support plate structure driven by an electromagnetic inertial actuator is established; 2) in view of external unknown interference and modeling uncertainty existing in the system, a compensation function observer is designed to realize real-time estimation and compensation; 3) a non-singular fast terminal sliding mode surface is constructed, and a sliding mode control law is designed in combination with the observer output, so that the singularity problem of a traditional terminal sliding mode is solved, and the time for system state to reach a balance point is shortened through a fast convergence term; 4) a comparison experiment is designed, and the composite control method designed in the application can significantly reduce the vibration amplitude of the four-side fixed support plate while guaranteeing the finite time stability of the system, and has stronger anti-interference ability and higher vibration suppression precision compared with the traditional sliding mode control.

This invention relates to a sensorless control method for permanent magnet synchronous motors (PMSMs) with low observation error under multiple operating conditions, belonging to the field of motor control technology. The invention establishes a mathematical model of the PMSM in a stationary coordinate system and a classical back-EMF observer; based on the observed back-EMF values ​​after coordinate transformation, an adaptive gain characterizing the rotor motion direction is designed; a cosine value of the rotor position estimation error is constructed, and an adaptive gain feedforward orthogonal high-order phase-locked loop (PLL) is used, along with an ideal low-pass filter, to obtain estimates of the rotor speed and position. This invention can more effectively reduce the influence of complex operating conditions on the motor position estimation error, providing more reliable speed estimation and rotor position signals for the field-oriented control of the motor. The sensorless control strategy for PMSMs with low observation error under multiple operating conditions proposed in this invention can achieve speed control when the motor is in reverse, exhibiting good dynamic and steady-state performance.

The application discloses a three-level full-bridge dual active bridge converter and a midpoint potential balance control method. The converter comprises a high-frequency transformer, a DC input voltage source is arranged on the primary side of the high-frequency transformer, and series-connected upper and lower capacitors are connected between the positive and negative electrodes of the DC input voltage source. Three-level half-bridge A and three-level half-bridge B are connected in parallel, a node between the upper and lower capacitors is connected to the midpoint of two clamping diodes of the two three-level half-bridges, the center point of the three-level half-bridge A is connected to one end of the primary side of the high-frequency transformer through a power transmission inductor, and the center point of the three-level half-bridge A is connected to the other end of the primary side of the high-frequency transformer through a DC isolation capacitor. In the control method, the primary side power device is divided into a fixed 50% duty ratio basic bridge arm and a non-symmetrical duty ratio adjusting bridge arm, a PI voltage balance loop is constructed by taking the voltage difference of the two capacitors as feedback, the duty ratio of the adjusting bridge arm is dynamically adjusted, the average value of the midpoint current is changed, and the midpoint potential balance is realized.

The present invention relates to a multi-module DC converter power balancing method based on model predictive control, which uses model predictive control to quickly control the output voltage of the multi-module DC converter, so as to be suitable for output voltage steady-state control under different modulation strategies, and uses proportional integral control to evenly control the input voltage of the multi-module DC converter, so as to achieve power balance between multiple modules, thereby achieving system output voltage control and power balance control of each module at the same time. The method is conducive to achieving power balance between modules of the multi-module DC converter.

This invention provides a circuit topology and control method for high-power power conversion devices. This circuit topology exhibits low switching losses and high conversion efficiency in applications requiring high-frequency power switching. The invention also provides a power conversion device utilizing this circuit topology, outlining the device layout and transformer winding method. While meeting the requirements for high-power output, this further reduces the size and losses of the power conversion device, improving its steady-state and dynamic performance. Furthermore, this invention provides a voltage equalization control scheme to achieve voltage balancing between two high-voltage sub-circuits.

The invention discloses a model-free self-adaptive discrete time fast terminal sliding mode control method and system based on a novel discrete approaching rate, and the method is compared with a conventional PI controller, a sliding mode controller and a model-free self-adaptive linear sliding mode controller. The response speed of the system is improved, and the method does not depend on a system model any more. Meanwhile, on the basis of input and output data of the permanent magnet synchronous motor system, a pseudo-partial derivative estimation algorithm is constructed according to a criterion function to obtain a time-varying parameter, a pseudo-partial derivative resetting mechanism is perfected, motor control based on data driving is achieved, and convergence of the pseudo-partial derivative estimation algorithm and stability of a control algorithm are analyzed; the control method is high in control precision and high in response speed, the robustness and the anti-interference performance of the system are improved, and then the control performance of the motor system under the complex working condition is improved.

The invention discloses a distributed satellite predetermined time attitude cooperative anti-saturation control method. The method comprises the following steps: firstly, establishing an SAR satellite formation model considering saturation constraint; then designing a preset performance boundary function which can converge within specified time; solving the problems of external interference, actuator saturation constraint and the like of a satellite formation flight system; and finally, designing an SAR satellite predetermined time attitude cooperative control law based on an anti-saturation compensator, an interference observer and sliding mode control, so that the formation satellites can realize the specified time convergence of the attitude cooperative error under the saturation constraint of the actuator, the attitude cooperative error is within a preset performance boundary, the control precision is high, the control performance is good, and the convergence speed is high.

The invention discloses a method for constructing a multi-permanent magnet synchronous motor speed synchronous controller based on a distributed observer. The method comprises the following steps: 1, establishing a multi-permanent magnet synchronous motor system consisting of N permanent magnet synchronous motors; 2, dividing the motors into two groups according to whether leader information can be directly obtained or not, and constructing a closed-loop system of multiple permanent magnet synchronous motor speed loops based on a collaborative output regulation theory; 3, constructing a directed communication topology to describe information transmission between the motors, and designing observers for the two groups of motors respectively; 4, designing a speed controller aiming at the speed rings of the two groups of motors; and 5, designing a PI controller for the current loops of the two groups of motors, and providing a final speed synchronous controller. The speed synchronization controller based on the distributed observer is designed for the situation that communication network constraint exists in actual control, speed synchronization and interference suppression of a multi-permanent magnet synchronous motor system are achieved, and good tracking performance is achieved.

The invention discloses a repeatable fuze type precise guidance assembly and system and a use method, and belongs to the technical field of communication guidance and flight control. The assembly mainly comprises a shell, a radio frequency antenna, a satellite antenna, a missile-borne controller, a rudder system, a fairing, a folding rotor wing, an explosive rope, an explosive bolt, a compression spring, a slewing bearing type speed reducer, a battery, a rotating disc and a motor. Wherein the radio frequency antenna and the rudder system are both installed on the shell, the satellite antenna is installed on the wall face of the shell, the missile-borne controller and the battery are installed in the shell, the inner ring of the slewing bearing type speed reducer is connected with the battery, and the outer ring of the slewing bearing type speed reducer is connected with the rotating disc; the folding rotor wings are fixed on the turntable, an output shaft of the motor is connected with the turntable, and the compression spring is fixed at the lower end of the motor. The mode that an original fuse is not replaced and a fixed rotor wing is additionally arranged is adopted, and the problems of storage, destruction, maintenance and repeated use of the original fuse are solved.

The invention provides a permanent magnet synchronous motor current controller design method, a current controller and a permanent magnet synchronous motor. The permanent magnet synchronous motor current controller design method comprises the steps of 1, designing a model-free nonsingular terminal sliding mode current controller; 2, designing a quasi-resonance regulator; and step 3, a quasi-resonance compensation step: respectively connecting two ends of the d-axis model-free nonsingular terminal sliding mode current controller and the q-axis model-free nonsingular terminal sliding mode current controller in parallel with a quasi-resonance regulator. According to the current controller design method, a current tracking controller of a permanent magnet synchronous motor with a current tracking function is designed, and the two ends of a d-axis model-free nonsingular terminal sliding mode current controller and the two ends of a q-axis model-free nonsingular terminal sliding mode current controller are respectively connected with a quasi-resonance regulator in parallel. Therefore, the motor not only has good dynamic performance, but also can effectively reduce the current fluctuation, suppress the torque ripple and improve the steady-state performance.

The invention discloses an intelligent optimal control method for a networked system, and the method comprises the steps: S1, building a dynamic model of an uncertain strict feedback nonlinear system, and defining an event triggering mechanism based on a relative threshold value; s2, performing online approximation on an unknown nonlinear function in the system by adopting a radial basis function neural network; s3, based on a backstepping method, defining a coordinate transformation error variable, and designing a virtual control law and a parameter adaptive law for the intermediate subsystem; s4, based on the event triggering mechanism and the Lyapunov stability theory, an actual control law and an inverse optimal control law are designed, and a relation exists between the inverse optimal control law and the actual control law; and S5, executing event trigger control according to the actual control law and the event trigger mechanism, and applying the control signal meeting the inverse optimality to the controlled object to realize closed-loop stable control. According to the invention, the problems of signal discontinuity, system uncertainty and network resource limitation can be solved.

The application discloses a kind of centrifugal pump dynamic performance optimization method under given flow mutation, first deduce the maximum slope when motor torque rises and falls;Second, the turning point of torque instruction mutation is deduced;Finally, the corresponding torque instruction is sent out: when flow mutation time to turning point, this section of time gives forward vector, so that torque rises according to maximum slope, after reaching turning point, give retreat vector, so that torque falls at maximum slope, until torque returns to initial value, speed tracks on mutation after given speed, flow reaches given flow, system reaches stable state.The application controls torque linearly in dynamic time, and the control rate is the hardware limit value.A linear differential equation is constructed with the torque integral of dynamic imbalance and the given speed increment being equal as a constraint to solve the torque turning point, which makes up for the speed overshoot of traditional speed PI loop, and realizes the optimal torque control curve and optimal flow response curve under dynamic linear control.

The present invention discloses a precision low-temperature thermostat temperature control method based on linear auto-disturbance rejection, establishes a heat transfer physical model for a general low-temperature thermostat, and provides an auto-disturbance rejection control method suitable for the low-temperature thermostat in combination with the physical model, which can effectively improve the anti-disturbance capability of the parameters, reduce the overshoot of the temperature control, and achieve rapid control of the target temperature. The present invention designs an extended state observer based on the linear auto-disturbance rejection control method, improves the dynamic performance and steady-state performance of the low-temperature thermostat, solves the problems of large overshoot, small applicable temperature range of parameters, and poor anti-disturbance capability of conventional PI or PID control methods, enables the low-temperature thermostat to achieve a wider range of temperature regulation, improves temperature control efficiency, and saves experimental time.

The present invention discloses a five-phase permanent magnet synchronous motor model prediction fault-tolerant control method based on deadbeat. The method first discretizes the voltage equation, iterates the discretized voltage equation once, obtains the current at the next moment, and calculates the reference voltage based on the deadbeat idea. Secondly, the voltage cost function is designed. Then, the voltage vector after the fault is synthesized on the principle of suppressing the third harmonic current to zero, and a virtual voltage vector is obtained, and the virtual voltage vector is processed with equal amplitude. Finally, the processed virtual voltage vector is divided into sectors, so that the optimal voltage vector corresponding to the reference voltage vector in each sector is the virtual voltage vector in the sector. The present invention can effectively reduce the calculation amount of the finite set model prediction fault-tolerant control of the five-phase permanent magnet synchronous motor under the open circuit fault, and suppress the torque pulsation and current harmonics caused by the fault, and has a good application prospect.

The invention discloses a distributed finite-time unmanned ship data-driven course consistency control method. The method comprises the following steps: constructing a dynamic model of each follower of an unmanned ship system; selecting a finite time preset performance function and acquiring a preset performance constraint parameter; constructing a data-driven fuzzy predictor according to the fuzzy logic system, the dynamic model of each follower of the unmanned ship system and the data stored in the data stack; constructing a second-order nonlinear tracking differentiator; a distributed finite time consistency controller is constructed according to the dynamic model, a preset performance function, preset performance constraint parameters, a data-driven fuzzy predictor and a second-order nonlinear tracking differentiator, and a distributed finite time unmanned ship data-driven course consistency controller is obtained by combining parameters such as a fuzzy logic system and a filter; the course consistency control of the unmanned ship is realized; according to the method, overshoot of synchronization errors can be effectively suppressed, transient and steady-state performance of the system is improved, quick response and control effect are realized, and the method is more in line with practical application.

The invention relates to a motor control method, in particular to a permanent magnet motor driving system switching point selection model prediction control method, a permanent magnet motor is a synchronous motor, and a driving circuit of the permanent magnet motor comprises two level converters. Comprising the following steps of establishing a permanent magnet synchronous motor mathematical model under a dq-axis rotating coordinate system, performing forward Euler discretization on differential terms of the permanent magnet synchronous motor mathematical model, quantifying the differential terms of the permanent magnet synchronous motor, performing cost function error term disassembly and the like. According to the model predictive control method adopted by the invention, current predictive substitution is carried out by combining a current differential term with a switching point balance equation, the influence of external disturbance and load change is not easily caused, the control precision is relatively high, the response speed is relatively high, a target function can be quickly pre-selected, an error term can be decomposed, the algorithm complexity is reduced, and the efficiency is improved. And meanwhile, the differential terms of the permanent magnet synchronous motor are quantized, so that the number of current iterations is reduced, and the steady-state performance of the system is improved.

The invention relates to a measurement noise suppression method of a permanent magnet synchronous motor speed regulation system, and belongs to the field of synchronous motor speed regulation system control. A nonlinear extended state observer is designed by utilizing a dynamic equation of a permanent magnet synchronous motor speed regulation system, so that the motor rotating speed and external disturbance can be estimated in real time; a continuous terminal sliding mode controller is designed according to a motor rotating speed observation value and an interference observation value, a rotating speed containing measurement noise is replaced by the rotating speed observation value, and feedforward compensation disturbance is performed in real time, so that the influence of the disturbance on system output is effectively counteracted; meanwhile, the high-frequency switching function is hidden in the high-order derivative of the sliding mode variable, and the chattering phenomenon of traditional sliding mode control is avoided; compared with traditional active disturbance rejection control, the method provided by the invention has higher control precision, smaller rotating speed fluctuation and better measurement noise suppression performance; and after load disturbance, the adjustment time is shorter, the anti-interference capability is stronger, the current pulsation is smaller, and long-time stable operation of the motor is facilitated.

This invention relates to a speed control method and electronic device for permanent magnet synchronous motors (PMSMs) based on singular perturbation theory. The method includes: establishing a singular perturbation model of the PMSM and decoupling it into a fast-changing subsystem and a slow-changing subsystem; constructing an amplitude control set model predictive controller to obtain a voltage amplitude candidate set and establishing a current prediction model; calculating a q-axis current reference value based on a deadbeat controller; constructing a cost function based on the q-axis current reference value; using the cost function and the current prediction model to traverse the voltage amplitude candidate set; selecting the voltage combination with the minimum cost function as the optimal voltage control signal; and driving the PMSM based on the optimal voltage control signal. Compared with existing technologies, this invention has advantages such as improved current tracking accuracy, suppression of harmonics and torque ripple, ensuring rapid tracking of speed commands, and simultaneously meeting the requirements of high dynamics, high precision, and robust control of motor speed.

The invention discloses a segmented power supply LPDSLIM current decoupling control method and device, and belongs to the technical field of motor control, and the method comprises the steps: setting a primary current reference value, and calculating a primary current angular frequency and a vector transformation angle based on the primary current reference value and a secondary speed; designing a complex vector controller, and performing closed-loop control on the primary current; self-adaptive damping feedback voltage and counter electromotive force are calculated and compensated, so that a compensated primary voltage reference value is generated; and inputting the primary voltage reference value into SVPWM (Space Vector Pulse Width Modulation) to generate an inverter driving signal so as to control the motor. According to the invention, effective decoupling of current control can be realized, and the method has high parameter robustness.