Research On Sensorless Control System Of Pmsm Based On ECKF

Permanent magnet synchronous motor(PMSM)are widely used in the industrial field because of its advantages of wide speed regulation range and fast dynamic response.High-performance PMSM vector control requires real-time and accurate rotor position information,but when limited by some extreme application environments or cost requirements,it is not suitable to install sensors in the motor,which puts forward high requirements for rotor position estimation in the control system.Based on this research background,this thesis discusses the PMSM rotor speed and position state estimation method based on exponentially-fitted cubature Kalman filter(ECKF),and conducts detailed theoretical analysis,simulation research and experimental verification.This thesis mainly focuses on surface-mount permanent magnet synchronous motors.In order to design and analyze its vector control system,the mathematical model of the motor under different coordinate systems is first established,and its parameter characteristics,at the same time,various control methods are compared and analyzed.Aiming at the requirements of rotor position information of PMSM control system under wide speed regulation range,it is proposed to study and improve the basic Kalman filter algorithm to achieve accurate estimation of rotor position.Specifically,the extended Kalman filter algorithm and its derivatives are comparatively studied,and on the basis of the theoretical derivation and mathematical proof of the cubature Kalman filter algorithm and the exponentiallyfitted cubature Kalman filter algorithm,it is further applied to the surface-mounted permanent magnet synchronous motor vector control system.At the same time,the simulation model of permanent magnet synchronous motor vector control system with two Kalman filtering algorithms is constructed.Using this as a platform,their speed and rotor position tracking estimation effects are compared and analyzed in a wide speed range.In addition,in order to enhance the robustness of PMSM control system,fuzzy control is used to improve the speed loop in the traditional PI dual closed-loop vector control system.The steady-state and dynamic performance of the traditional PI and fuzzy PI control strategy system are compared through simulation analysis.Finally,taking TMS320F28335 as the core,this thesis studies and designs an experimental platform for PMSM speed control system based on ECKF,and test the speed and rotor position estimation accuracy of the motor under steady-state and dynamic conditions.Through the analysis of the experimental results,it is proved that the proposed study can quickly and accurately track the actual position of the rotor in a wide speed regulation range,so that the PMSM vector control system has good control performance.