Quantification Factor Self-tuning Fuzzy PID Controller Research for a Permanent Magnet Synchronous Motor Feeding System

摘要：

Control of permanent magnet synchronous motor includes nonlinearities, uncertainties and external perturbations that should be considered in the design of control laws. A quantification factor self-tuning fuzzy PID controller for PMSM is suggested by analysis the deficiency and characteristics of conventional PID controller and the limitations of conventional fuzzy PID controller. The simulation results show that the controller can map the error to the fuzzy domain in the whole speed reference range, and slow the motor down when the speed error is small. There is almost no overshoot in both speed up and slow down process. The proposed controller is superior to the conventional fuzzy PID controller in dynamic stability performance and speed tracking power, and the quantification factor self-tuning fuzzy PID controller has strong robustness to external disturbance.

关键词： PMSM vector control quantification factor self-tuning fuzzy PID little overshoot

作者: Liu Guiqiu Li Long

作者单位: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 2522-2526

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）