Decoupling Research Of Permanent Magnet-type Synchronous Motor Based On FOC

With the rapid development of electric vehicles,motor instead of fuel engine has become a hot topic of research.Among the many kinds of motors,the permanent magnetic synchronous motor has the advantages of simple control,stable dynamic performance,large output torque and diversified form.With the continuous development of motor manufacturing technology and motor control technology,permanent magnetic synchronous motor has been used in many applications.Permanent magnet synchronous motor is a complex object with multivariable,strong coupling,nonlinearity and variable parameters,which is of great significance to the study of decoupling control of permanent magnet synchronous motor system.This paper focuses on the decoupling control of permanent magnet synchronous motor in order to achieve the high-precision control of permanent magnet synchronous motor.Based on vector control theory,decoupling control is studied,and vector control is an approximatestatic decoupling control using traditional current ring PI regulator feedback control.The cross-coupling of excitation current and torque current is ignored,resulting in an increase in the regulation time of the current ring PI regulator,which has poor dynamic decoupling performance.On the basis of vector control,the feed-forward voltage compensation regulator is added to realize the decoupling control of excitation current and torque current,and the dynamic response ability of the control system is enhanced.In the actual operation of the motor,due to the change of the ambient temperature and the saturation degree of the motor magnetic circuit,the actual parameters of the motor change,so that the feed-forward voltage compensation item deviation,affecting the decoupling performance of the current ring PI regulator of the feed-forward voltage compensation.Only when the actual parameters of the motor match the actual parameters of the model accurately can the motor be effectively decoupled.This paper puts forward the method of identifying the motor parameters by differential value and neural network,and accurately obtains the feed-forward compensation,enhances the adaptability and fault tolerance of the current ring PI regulator based on feed-forward voltage compensation,and improves the decoupling performance of the permanent magnetic synchronous motor control system.In the Matlab/Simulink,the vector control system model of permanent magnetic synchronous motor is built,add the feed-forward voltage compensation module,the differential calibration parameter module and the neural network identification parameter module are added,through simulation verification and results analysis,it is proved that the scheme can reduce the coupling relationship between excitation current and torque current.Under the experimental platform,the understanding of the coupling system is optimized for the permanent magnetic synchronous motor control system.