永磁同步电机高性能速度控制的最优模糊PI控制器讲解.doc

中文3150字 An Optimal Fuzzy-PI Controller for the High-Performance Speed Control of a PMSM Abstract—The purpose of this paper is to present an adaptive method for improving the control performance of permanent magnetic synchronous motor (PMSM) in operating condition. The approach allows to reduce speed tracking error and to cope with external disturbance. The methodology of speed control is presented in detail and two controllers are tested, traditional proportional integrative (PI) controller and fuzzy proportional integrative (fuzzy-PI) controller. Both controllers showed good results from experiments presenting similar behaviors. However, the fuzzy-PI stood out positively in some stages. The main motivation of this paper is the extension of fuzzy logic algorithm to improve servo control performance in industrial applications. Keywords-Fuzzy-PI; Speed Control; Disturbance; PMSM Introduction High-performance servo system for permanent magnetic synchronous motor (PMSM) is essential in many applications in the field of mechatronics such as precision engineering, computer numerically controlled machine tools and other applications in a variety of automated industrial plants . Due to the uncertainties, which are composed of unpredictable plant parameter variations, load disturbances, and nonlinear dynamics of the plant , the control performance of PMSM servo system is influenced seriously. In this situation, the servo drive may need to respond relatively swiftly to command changes and to offer enough robustness against the uncertainties. In order to meet the development requirements of high speed and high precision for linear motor, it is thus desired to have an intelligent controller that can own higher anti-disturbance performance according to the disturbances and uncertainties in operating condition. Up to now, a large number of control techniques (fuzzy, PI, PID, etc.) with varying complexity have been proposed . Fuzzy control was first introduced and implemented in