Fuzzy PID Controller Using Adaptive Weighted PSO for Permanent Magnet Synchronous Motor Drives
A optimization method of self-tuning fuzzy PID controller for permanent magnet synchronous motor (PMSM) is presented in this paper. The proposed controller is developed for speed control of the PMSM using in vehicle. The design of self-tuning fuzzy PID controller is a complex task due to a large number of parameters and rule bases. In this paper, the parameters of membership functions and rule bases of fuzzy logic controller are optimized by adaptive weighted particle swarm optimization (PSO), which is an efficient and simple tool for multi-objective and multi-dimensional problem. The proposed controller is verified by simulation, the result showing robust and good dynamic response.
self-tuing fuzzy PID controller adaptive weighted particle swarm optimization permanent magnet synchronous motor particle swarm optimization fuzzy controller
Ming Yang Xingcheng Wang
School of Information Science and Technology, Dalian Maritime University Dalian, China
国际会议
长沙
英文
1688-1691
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）