63 results about "Vector control system" patented technology

The invention discloses a decoupling control method and system for a matrix motor with harmonic suppression capability, and belongs to the technical field of motor driving systems, and the method comprises the steps: building a matrix motor current loop mathematical model which considers a DC disturbance term and an AC disturbance term at the same time; based on the matrix motor current loop mathematical model, establishing a self-adaptive quasi-resonance extended state observer which simultaneously considers direct current disturbance observation and alternating current disturbance observation and performs self-adaptive adjustment on control parameters; the direct current and alternating current lumped disturbance of a matrix motor current loop is observed in real time through an adaptive quasi-resonance extended state observer; compensating the observed direct current and alternating current lumped disturbance in a forward controller of the current loop and obtaining a voltage control quantity; and controlling the matrix motor through a voltage vector space transformation and SVPWM modulation method according to the voltage control quantity. The method is improved and optimized based on an existing matrix motor vector control system, and the system does not need to be modified on a large scale.

The invention discloses a permanent magnet synchronous motor adaptive sliding mode speed control method based on an improved reaching law, and belongs to the field of permanent magnet synchronous motor sliding mode speed control. A power item and a variable speed regulation function of the sliding mode surface are introduced into a constant-speed switching item and an exponential reaching item of a traditional exponential reaching law respectively, a hyperbolic sine function is used for replacing a switching function, and an improved reaching law with the fast reaching and buffeting suppression characteristics is obtained; designing a speed controller of the permanent magnet synchronous motor; designing a self-adaptive sliding mode disturbance observer independent of disturbance boundary information by adopting a double-layer self-adaptive structure, estimating total disturbance of a speed control loop, and taking an output value of the observer as speed controller compensation; the controller and the observer are applied to a permanent magnet synchronous motor vector control system. The method can effectively improve the speed control response speed and the steady-state performance of the permanent magnet synchronous motor.

The invention discloses a frequency adaptive position sensorless control method for a permanent magnet synchronous motor in the technical field of permanent magnet synchronous motors, and the method comprises the steps: adding an adaptive vector filter into an internal model of an extended state observer, so as to obtain an estimated counter electromotive force without phase lag; filtering third and fifth harmonics in the estimated counter electromotive force by using an adaptive vector filter; meanwhile, the motor rotating speed and the rotor position angle are estimated through an orthogonal phase-locked loop and are finally fed back to a vector control system; the frequency self-adaptive extended state observer can observe the back electromotive force under a relatively low bandwidth, so that the problem that bandwidth improvement and high-frequency noise filtering of the extended state observer cannot be considered at the same time is solved; according to the method, the frequency is adaptively changed along with the working frequency of the motor, so that the estimation precision of the counter electromotive force in a relatively wide rotating speed range is ensured, and high-performance position-sensorless control of the permanent magnet synchronous motor in the wide rotating speed range is realized.

The invention relates to the technical field of motor control, and discloses a multi-objective optimization synchronous reluctance motor vector control system, which comprises a multi-objective optimization algorithm module. According to the invention, through the multi-objective optimization algorithm module, an improved NSGA-II and PSO combined algorithm is used to collaboratively optimize multi-objective functions such as motor efficiency, torque ripple and dynamic response, so that the comprehensive performance of the motor is remarkably improved, and the requirements of complex scenes are met; the parameter online adjustment module adaptively adjusts controller parameters in real time based on a fuzzy control strategy, the stability and adaptability of the system are enhanced, and the stability of each operation stage of the motor is guaranteed; the current decoupling control module introduces a feedforward decoupling link to eliminate current coupling, and combines signal processing and control algorithm to execute anti-interference measures of the module, so that the current control precision and the system reliability are improved; the compatibility interface and the self-learning and optimization module realize remote monitoring and parameter setting, and can realize self-learning optimization according to operation data, expand application scenes and meet user change requirements.

The invention discloses a full-speed-domain vector control system of a high-speed magnetic suspension permanent magnet motor, and relates to the technical field of permanent magnet synchronous motor control, the full-speed-domain vector control system comprises a flux linkage prediction module, a speed estimation module, an adjustment control module, a permanent magnet motor and a motor parameter identification module, and the motor parameter identification module carries out parameter identification on the permanent magnet motor to obtain parameter data; the flux linkage prediction module predicts flux linkage information at the next moment according to the parameter data to obtain predicted flux linkage data, and the speed estimation module evaluates the rotating speed of the permanent magnet motor according to the predicted flux linkage data to obtain rotating speed data; and the adjustment control module acquires a next moment control signal according to the predicted flux linkage data and the rotating speed data, and performs real-time control on the permanent magnet motor through the next moment control signal. Smooth control of the permanent magnet synchronous motor is realized by predicting the motor parameters at the next moment.

The invention discloses a high-efficiency and fast-response control method for a brushless non-inductive direct current motor, and the method employs a non-inductive vector control system which combines an improved rotating speed loop active-disturbance-rejection controller (ADRC) and an improved sliding-mode observer (SMO) to improve the anti-interference capability of a power system. The vector control of the brushless direct current motor at a high speed is realized by adopting an improved sliding-mode observer (SMO), and meanwhile, an active disturbance rejection controller (ADRC) is adopted by a rotating speed ring; according to the method, high-precision control is maintained, the parameter adjustment process is simplified, the implementation difficulty is reduced, the dependence on a high-precision sensor is reduced, the robustness and the anti-interference capability of the system are improved, and good stability and control precision can be maintained even under the condition that motor parameters change greatly or load fluctuation is large; the problems in the background technology are solved.

The invention provides a method for suppressing a current measurement error of a ship permanent magnet propulsion motor, and belongs to the technical field of motor drive control systems. The method comprises the following steps: establishing a ship permanent magnet propulsion motor vector control system model containing a current measurement error; constructing a target resonator with d-axis and q-axis current measurement error phase compensation based on the model; the target resonator is connected to a PI controller of a rotating speed ring in parallel, and the output of the target resonator serves as compensation of d-axis current and q-axis current disturbance of the ship permanent magnet propulsion motor. According to the method, the problem that only q-axis current harmonic can be compensated in the prior art is solved, meanwhile, a controller or a sensor does not need to be added, system redundancy is avoided, and accuracy and calculation efficiency are both achieved.

The invention relates to the technical field of permanent magnet synchronous motor control, in particular to a permanent magnet synchronous motor vector control method for optimizing rotating speed ring PI controller parameters through an intelligent algorithm. The method comprises the following steps: establishing a double-closed-loop vector control system model, and setting parameters Kp and Ki of a PI controller by improving a sea gull optimization algorithm (ISOA). The improved seagull optimization algorithm initializes a population position, a cosine type motion behavior and a Levy flight strategy by combining Logistic-Tent chaotic mapping so as to enhance global and local search capabilities and improve motor response speed and control precision. And the fitness function adopts an ITAE criterion, so that the rotating speed control error is effectively inhibited. Simulation results show that the method can significantly reduce overshoot and adjustment time, improves system stability, and has obvious advantages compared with traditional PI control.

The invention belongs to the technical field of motor control, and particularly relates to a permanent magnet synchronous motor parameter identification method, which comprises the following steps of: acquiring voltage, current and speed data of a motor in two states that direct-axis current is equal to 0 and not equal to 0 in the same period as input characteristic quantities through a permanent magnet synchronous motor vector control system; synchronously collecting motor stator resistance, direct-axis inductance, quadrature-axis inductance and permanent magnet flux linkage as output characteristic quantities for training a back propagation neural network model; and after reverse neural network training is completed, motor parameter identification is completed by inputting related characteristic quantities in real time. According to the method, the training efficiency and generalization ability of the neural network model are improved, the problems that a traditional parameter identification scheme depends on high modeling precision and low identification precision are solved, and the method is suitable for parameter identification behaviors of the permanent magnet synchronous motor under various working conditions. The invention also provides a non-transitory readable recording medium storing the program of the method and a system comprising the medium, and the program can be called through a processing circuit to execute the method.

The present application relates to a kind of permanent magnet shielding motor vector control energy efficiency optimization method considering magnetic field lagging phase angle, belong to permanent magnet shielding motor control field.It is characterized by: by analyzing shield sleeve eddy current effect, the analytical expression of magnetic field lagging phase angle is derived using electromagnetic field theory;The lagging phase angle is introduced into permanent magnet flux linkage term to be corrected, and the eddy current loss of shield sleeve and stator iron loss are combined into equivalent iron loss component, and a system controllable loss model is constructed;Under the constraint of constant torque, the analytical expression of total controllable loss about direct-axis current is derived and the optimal direct-axis current given value is solved.The actual application introduces angle compensation in the coordinate transformation link of vector control system, and the optimal direct-axis current given value is sent into current regulator, the accurate decoupling of dq axis current is realized, the total loss of motor is reduced, so as to improve the overall efficiency of motor control system.

The invention discloses a dead-beat current prediction control method based on parameter adaptive online identification. The method comprises the steps of S1, mathematical modeling of a three-phase permanent magnet synchronous motor; s2, designing and simulating a vector control system based on PI control; s3, designing a dead-beat predictive current control algorithm; s4, vector control system simulation based on a dead-beat predictive current control algorithm; s5, analyzing the performance of the dead-beat predictive current control algorithm under the parameter mismatch condition; s6, a parameter identification algorithm based on model reference self-adaption; s7, performing model reference adaptive parameter identification algorithm simulation; and S8, performing parameter identification-based permanent magnet motor dead-beat predictive current control system simulation. According to the method, permanent magnet synchronous motor parameter identification based on a model reference adaptive algorithm is combined with dead-beat predictive current control, so that the stability and the interference resistance of the system are improved.

The utility model discloses a kind of torque vector control systems, including differential, the differential one side is connected with left half axle, the other side is connected with right half axle, the differential one side is equipped with transmission assembly to receive the power of vector motor output, the transmission assembly at least includes first planetary row and second planetary row sharing same connecting gear ring, the first planetary carrier of first planetary row is fixedly connected with left half axle;The second planetary carrier of second planetary row is fixedly connected with the shell of differential.The utility model has the beneficial effect mainly reflected in: the system has torque distribution function, and the radial space of double planetary row shared gear ring is smaller, by reasonable arrangement to vector motor and speed reduction mechanism, so that its application is more widely, and performance is stronger.Simultaneously, the system has torque distribution function, and energy consumption problem in yaw dynamics control and driving experience are considered;Can effectively improve the economy of car, steering stability and initiative safety.

This invention discloses a harmonic current injection active disturbance rejection control method for motors. It is a harmonic current suppression and tracking control scheme for permanent magnet synchronous motors based on an improved QRADRC. Strong disturbance suppression is achieved by embedding quasi-resonance in the ESO (Electronic Stability Oscillator), and high-precision tracking is achieved by embedding quasi-resonance in the control law. Combined with a dual-quasi-resonance coordinated tuning rule, harmonic current injection and control are completed directly within the dq synchronous rotating coordinate system without additional coordinate transformation. This invention is applicable to motor vector control systems based on the dq0 synchronous rotating coordinate system, and is particularly suitable for high-precision current control and active harmonic injection applications of surface-mounted permanent magnet synchronous motors under inverter nonlinearity, dead-zone effects, and parameter perturbations.

The invention discloses a phase-locked loop control method of a permanent magnet synchronous generator, which belongs to the technical field of motor control and wind power generation, and comprises the following steps: acquiring two-phase current and two-phase voltage under a static coordinate system, and calculating through a sliding-mode observer to obtain a shaft and an extended counter electromotive force estimated value of the shaft; designing a finite position set phase-locked loop based on Taylor series and a Newton iteration method, performing quadrant judgment and correction processing on a rotor position estimation value after primary iteration to obtain a final rotor position estimation value, performing differential operation on the final rotor position estimation value, and processing a differential result by using a low-pass filter to obtain a final rotor position estimation value; obtaining a rotating speed estimation value of a rotor, and integrating the sliding-mode observer and a finite position set phase-locked loop to a motor vector control system to realize position sensorless control; according to the phase-locked loop control method of the permanent magnet synchronous generator, the calculation burden is greatly reduced while the precision is ensured.

The invention belongs to the field of electromechanical transmission systems and control, and provides an intelligent electromechanical transmission system and an optimal control method thereof. The intelligent electromechanical transmission system has a first output form, a second output form and a third output form. The method comprises a starting process control method and an operation process control method. According to the operation process control method, engine load rate, direct current bus voltage and motor power constraint are comprehensively considered, and engine target rotating speed is generated; respectively controlling the generator and the motor by using vector control precaution based on rotor field orientation; designing a current inner loop decoupling controller of the asynchronous motor vector control system by applying a basic method of feedback linearization; and tracking the change of the load torque by using an error-based active-disturbance-rejection constant-speed control strategy to realize constant-speed control. The optimal control method is provided mainly for the electromechanical transmission requirement, the working efficiency and stability of the transmission system are improved, and stepless speed change and transmission intelligent control are achieved through electromechanical transmission.

The utility model provides a vector control system and a vehicle. The vector control system comprises a transmission system and a torque vector control system, the torque vector control system comprises a clutch group; the clutch group comprises a first clutch and a second clutch; the transmission system is connected with a right wheel through a first clutch; the transmission system is connected with a left wheel through a second clutch; the transmission system is in transmission with at least one of the pair of wheels through the clutch set. Traditional complex mechanisms such as a differential mechanism and a bilateral speed reducer are omitted, and clutches are only arranged at the left wheel end and the right wheel end respectively. By means of the design, the number of parts is remarkably reduced, and the overall weight of the system is reduced. The simplified structure directly reduces the production cost, and provides convenience for subsequent maintenance. Through mutual switching control of the clutches, the rotating speed difference between the left half shaft and the right half shaft can be rapidly adjusted, and therefore accurate distribution of torque is achieved.

The present invention belongs to the field of motor control technology, and discloses a five-phase induction motor speed sensorless vector control method, system and terminal. In the process of digitizing the full-order flux observer algorithm, the bilinear method is used to discretize the state equation of the five-phase induction motor; combining the full-order flux observer and vector control technology, a five-phase induction motor speed sensorless vector control speed regulation system is established. In view of the current domestic technical gap in the speed sensorless vector control of five-phase induction motors, the present invention establishes a five-phase induction motor speed sensorless vector control system based on the full-order flux observer and vector control technology. Experimental results show that the system has good speed regulation performance and speed identification capabilities. In addition, in order to solve the problem that the traditional Euler discretization method will produce a large discrete error, the present invention adopts a more accurate bilinear method to discretize the state equation of the five-phase induction motor, which is suitable for application scenarios with high requirements for speed regulation performance.

The application relates to a kind of twelve-phase permanent magnet motor control methods based on rotating shaft position observation, belong to motor control technical field. By equivalent twelve-phase permanent magnet synchronous motor to four three-phase control units;Design state observer based on rotating shaft for each unit to observe back electromotive force;Through phase-locked loop, the rotor position and speed signal of each unit is extracted from back electromotive force;According to master-slave control method, select one from four control units as master controller, use the rotor position and speed signal corresponding to the master controller as the final observation result of the system;At the same time, it is used as feedback signal, input to the double closed loop vector control system of twelve-phase permanent magnet synchronous motor, realize twelve-phase high-speed permanent magnet synchronous motor sensorless control. The observer based on rotating coordinate system of the application is better designed, and is more stable when low carrier ratio control.

The invention discloses a hybrid excitation motor two-phase static coordinate system position-sensorless control method and a hybrid excitation motor two-phase static coordinate system position-sensorless control system. The method comprises the following steps of: firstly, applying high-frequency square wave voltage excitation in an excitation winding, detecting generated high-frequency response current under a two-phase static coordinate system by utilizing a carrier separation mathematical method, and discretizing a detected high-frequency response current signal; then, the discrete current signals are processed through vector cross multiplication and a sign function, and rotor position and rotating speed information is obtained; and finally, substituting the real-time estimated values of the rotor position and the rotating speed into a vector control system of the hybrid excitation motor to control the hybrid excitation motor. According to the method, the precision of rotor position estimation under the zero-low-speed working condition is improved, dependence on a complex filter is not needed, the bandwidth of the system is expanded, and the control performance of the motor system is improved.

The utility model relates to an intelligent control acquisition device for a marine permanent magnet motor, which includes an X1 junction box, an X2 junction box, an X3 junction box, an X4 junction box, and a main junction box; the X1 junction box, the X2 junction box, the X3 junction box, and the X4 junction box are respectively installed on the right side surface of the main junction box by screws; the X1 junction box, the X2 junction box, and the X3 junction box are all weak current junction boxes; the X1 junction box is used for leading wires for bearing temperature measurement and water leakage alarm; the X2 junction box is used for leading wires for winding temperature measurement; the X3 junction box is for resolver wiring; the X4 junction box is a heating tape, and the X4 junction box is a strong current junction box. The utility model is easy for later maintenance and repair; effectively monitors the health status of the motor operation; combines with a vector control system to make the permanent magnet motor operate under reasonable working conditions; effectively prevents the internal windings of the motor from condensing.

The invention discloses a machine-side hybrid control method for a permanent magnet synchronous offshore wind power generation system, which mainly includes a permanent magnet synchronous wind turbine, a permanent magnet synchronous wind turbine vector control system, a controller group and an SVPWM module; the controller group includes a switcher, a sliding mode controller and an active disturbance rejection controller. The control method is as follows: S1: Construct the permanent magnet synchronous wind turbine vector control system with double closed-loop control of a speed loop and a current loop; S2: Construct the mathematical model of the permanent magnet synchronous wind turbine; Define the state variables of the permanent magnet synchronous wind turbine and construct the system state equation; S3: Design a switcher; S4: Construct the controller group; S5: Apply the controller group to the speed loop of the permanent magnet synchronous wind turbine vector control system, and control the current loop of the permanent magnet synchronous wind turbine vector control system through a PI controller. It can effectively reduce the strong interference of the harsh working environment offshore on the permanent magnet synchronous wind turbine.

The invention relates to the technical field of motor detection, in particular to a medical operation high-speed permanent magnet synchronous micromotor rotor position detection method, which comprises the following steps: acquiring the output voltage and current of an alternating-direct axis current regulator; based on the output of the quadrature-direct axis current regulator, the position error and the rotating speed error of a motor rotor are calculated respectively, the output of the quadrature axis current regulator is subjected to low-pass filtering and then integrated to obtain a decoupling rotating speed, and then the decoupling rotating speed is integrated to obtain a decoupling rotor position angle; the output of the direct-axis current regulator is subjected to low-pass filtering and then compensation solution to obtain an estimated rotor position angle, and then the estimated rotating speed can be obtained after differential. The method does not depend on a motor model, motor parameters are not needed, the speed of a motor rotor is detected from voltage output by a quadrature-direct axis current regulator of a control system with direct axis current as a zero vector, and then the position of the rotor is detected after integration.

The invention discloses a motor and a control method and device thereof, a storage medium and a computer program product, and the method comprises the steps: arranging an inductance filtering module between the output end of an inverter and the input end of the motor, obtaining the parameters of the motor before the motor is powered on, and obtaining the parameters of the inductance filtering module; according to the parameters of the motor and the parameters of the inductance filtering module, inductance filtering compensation voltage of the inductance filtering module is determined; in a vector control system of the power supply control end of the motor, vector control is carried out according to the parameters of the motor and the inductance filtering compensation voltage of the inductance filtering module, and a control signal of an inverter is determined, so that the inverter controls the motor to operate based on the control signal of the inverter. According to the scheme, the inductance filter is added to the output end of the inverter in the power supply control end of the motor, and inductance filtering voltage compensation is added on the basis of motor vector control, so that current harmonics can be suppressed, the motor performance can be improved, and few resources are occupied.

The invention discloses a permanent magnet synchronous motor adaptive sliding mode observation method based on fuzzy logic and DSOGI-PLL, and belongs to the technical field of motor sensorless control. According to the method, aiming at the buffeting and phase lag problems of a traditional sliding mode observer, a fuzzy logic controller is adopted to dynamically adjust the sliding mode gain and the F (s) function slope coefficient, and the buffeting of the system is effectively inhibited; meanwhile, a double-second-order generalized integrator phase-locked loop is introduced to carry out orthogonal decomposition and harmonic filtering on the back electromotive force signal, a fundamental component is accurately extracted, and phase delay is reduced. The method is embedded into a permanent magnet synchronous motor vector control system and can replace a mechanical position sensor to realize high-precision rotation speed and position estimation. Simulation and experiment results show that the method has remarkable advantages in the aspects of buffeting suppression and counter electromotive force estimation precision.

The application is suitable for the technical field of motor control, and provides a PMSM sensorless control method based on ESMO and SPLL, comprising: establishing a foc vector control mathematical model of a permanent magnet synchronous motor; designing an extended sliding mode observer by regarding back electromotive force as a state variable, adopting a double power sliding mode surface and a high-order sliding mode control law with an adaptive variable speed approaching term to complete back electromotive force observation; connecting an improved SOGI module with a compensation link to filter and process the observation signal and cross-compensate two-phase back electromotive force errors, optimizing a phase discriminator and a loop filter of a phase-locked loop, and extracting rotor position and speed; connecting the outputs of the observer and the phase-locked loop to a FOC vector control system to complete sensorless control closed loop building. The application effectively suppresses the chattering problem of the traditional sliding mode observer, improves the phase discrimination accuracy and dynamic response speed under low-speed working conditions, and enhances the anti-interference ability under load mutation.

The application discloses a global finite time convergence permanent magnet synchronous motor control method based on a backstepping method framework, comprising the following steps: 1) on a MATLAB platform of an upper computer, a permanent magnet synchronous motor control system is designed based on model-based design by using MATLAB / Simulink software; 2) a hardware circuit of a permanent magnet synchronous motor vector control system is built; 3) a finite time nonlinear extended state observer NLESO is designed; and 4) under a recursive control framework of the backstepping method, a super-spiral sliding mode algorithm with a second-order sliding mode characteristic is fused, and a globally finite time stable compound controller is designed. By integrating the observer convergence and the double closed loop stability, the application effectively suppresses the 'chattering' phenomenon of the traditional sliding mode control, and significantly improves the dynamic response speed, the steady state tracking accuracy and the anti-interference robustness of the motor in the whole working condition range.

The invention discloses a phase-locked loop control method of a permanent magnet auxiliary synchronous reluctance motor, which belongs to the technical field of motor control, and comprises the following steps: constructing a nonlinear flux linkage observer to obtain estimated values of a shaft and a shaft flux linkage, designing a finite position set phase-locked loop based on an inverse quadratic interpolation method, carrying out differential operation on the estimated value of a rotor position, and carrying out phase-locked loop control on the rotor position. Processing a differential result through a low-pass filter to obtain a rotating speed estimated value of a rotor, and integrating a nonlinear flux observer and a finite position set phase-locked loop based on an inverse quadratic interpolation method into a motor vector control system to realize position sensorless control; according to the phase-locked loop control method of the permanent magnet auxiliary synchronous reluctance motor, parameter setting is not needed, the robustness is high, the dynamic performance is good, and an innovative solution is provided for high-performance motor driving.

The invention discloses a current sampling offset error online compensation method of a permanent magnet synchronous motor, and belongs to the technical field of motor control. The method comprises the following steps: S1, establishing a voltage equation of the permanent magnet synchronous motor in an alpha-beta static coordinate system, and introducing and considering the influence of the introduction of CMOE on a current sampling link into the voltage equation; s2, simultaneously establishing a voltage equation in a static coordinate system and a current sampling model considering CMOE; and S3, based on the ESO thought, estimating the CMOE as an expansion state, and compensating the CMOE to the static coordinate system so as to eliminate the influence of the CMOE on the vector control system. The method can effectively improve the precision of the vector control system, has good dynamics and robustness, and meets the requirements of the industrial production field for the vector control system of the high-performance permanent magnet synchronous motor.

The present invention discloses a speed sensorless control method for an induction motor based on a variable speed reaching law, which belongs to the field of motor drive and control technology, and includes the following steps: step S1, constructing a full-order sliding mode observer model according to the mathematical model of the induction motor; step S2, designing a variable speed reaching law function and a feedback gain matrix; step S3, designing an induction motor speed estimation method; step S4, building an induction motor speed sensorless vector control system model; step S5, adjusting observer parameters and controller parameters so that the control system performance indicators meet actual needs. The present invention solves the problems of jitter and slow speed convergence speed of the speed sensorless control system of the induction motor under zero speed and low speed conditions, so that the system can operate stably with load under zero speed and low speed conditions, and has good steady-state performance and fast dynamic performance.

Aiming at the problem that the parameters of the noise covariance matrix in the Kalman filtering algorithm are difficult to tune, the present invention proposes a Kalman filter sensorless control strategy based on noise parameter identification. The parameter identification algorithm uses an improved population optimization algorithm, which combines the ideas of particle swarm and beetle antennae, and adds a linearly decreasing weight and a learning factor synchronization formula, so that the convergence speed and search ability of the optimization algorithm are significantly improved. In the vector control system of a brushless DC motor based on the extended Kalman filter, the parameters of the process noise matrix Q and the measurement noise matrix R in the observer are optimized by the improved population algorithm, and the optimal noise matrix parameters are quickly found by testing different fitness functions. The simulation results show that when the rotational speed exceeds the 1000 speed range, the steady-state error decreases and the estimation performance of the observer is significantly improved.