Position Control Strategy Of Permanent Magnet Synchronous Motor Based On Predictive Control

With the rapid expansion of the application field of permanent magnet synchronous motors,traditional control strategies have been difficult to meet the needs of high-performance control in many situations.The model predictive control strategy is insensitive to system parameters,has strong anti-interference ability,and has excellent control performance.It is widely used in the process control area.At present,the model predictive control strategies at home and abroad are mostly the prediction of the permanent magnet synchronous motor speed.There is less research on location prediction.For this reason,the position prediction control of permanent magnet synchronous motor is studied in this paper.The details are as follows:First,the mathematical model of permanent magnet synchronous motor in abc coordinate system is established,and the derivation of abc coordinate system αβ coordinate system and dq coordinate coefficient model is completed.Several classical vector control strategies and SVPWM principles of permanent magnet synchronous motor were introduced.The traditional PI control was verified by simulation,which laid the foundation for the next model control of permanent magnet synchronous motor.Secondly,on the basis of the model predictive control principle,the P controller is applied to the current and rotational speed model predictive control strategy of the existing permanent magnet synchronous motor to realize the control of the motor speed and the rotor position.The current model predictive control strategy predicts and controls the speed and position in the dq and αβ two coordinate systems.By analyzing the current prediction model to predict the PMSM speed and speed to predict PMSM speed control,a series-type predictive control method in two stationary coordinate systems is proposed.The series-type predictive control strategy proposes the stator current reference calculation separately so that it becomes a separate rotational speed change,and the generated stator current reference value can be changed in time as the system changes,thereby improving the control quality of the system.In order to eliminate the high-frequency noise introduced by the incremental encoder in the quantitative measurement of the rotor position,an EKF-based model predictive control strategy is adopted,and the EKF is used to estimate the rotor position instead of the conventional incremental encoder.Simulations of MATLAB2014a/Simulink simulation software verify the feasibility of the three predictive control strategies and the correctness of the theory.Finally,a permanent magnet synchronous motor control test platform based on TMS320F2812 PGFA DSP is built to verify the speed and position prediction control of three model predictive control strategies.Experiments prove that the model predictive control strategy can effectively achieve speed and position control.It can be extended to practical permanent magnet synchronous motor applications.