The Research And Design Of Permanent Magnet Synchronous Motor Sensorless Vector Control System

As the Permanent Magnet Synchronous Motor(PMSM) becomes more and more popular, various sensorless control methods are proposed. However, most of them investigate theories instead of engineering application. Therefore, it is of great engineering value to design a reliable sensorless vector control system that is easy to be digitalized. After analyzing the status quo of sensorless control methods of PMSM, this paper investigates the PMSM vector control system based on position evaluations of Sliding Mode Observer and Luenberger Observer.This paper begins with the establishment of mathematical models of PMSM in different coordinates, then illustrates the principles and algorithm realization of SVPWM, sets up the vector control system of PMSM and simulates on the system. After that, the sliding mode observer will be designed based on its basic structure and principle and improved as regard to the buffeting issue by replacing switch function with saturation function and at the same time adding back electromotive force observer of Kalman filter. However, better performance comes with bigger complexity. In order to address the buffeting issue and simplify the controller design, this paper proposes an evaluation method based on Luenberger Observer and replaces sliding mode observer with linear control to deal with the interval control. During the evaluation of the position rate of rotator, combined phase-locked loop and observer to acquire the position and rate of rotator. At last, the PMSM sensorless vector control system based on improved sliding mode observer and Luenberger observer will be set up in MATLAB/Simulink for simulation.At last, with STM32F103 as the control processor, the hardware platform of PMSM sensorless vector control system is established. Based on this platform, the system software programming and design are carried out under the development environment of Keil uVision4. In addition, experiments and debugs are made in the system. After analyzing the experimental results, all hardware and software algorithms are proved to contain no error.