Parameter Optimization of PID Controller Based on an Improved Particle Swarm Optimization for the Induction Motor

摘要：

This paper presents a new approach of PID parameter optimization for the induction motor speed system by using an improved particle swarm optimization (IPSO). The induction motor speed is changed by the stator voltage controlled with PID controller. The performance of PID controller based on IPSO is compared to Linearly Decreasing Inertia Weight (LIWPSO). Simulation results demonstrate that the IPSO algorithm has better dynamic performance, higher accuracy and faster convergence and good performance for the PID controller.

关键词： Improved Particle Swarm Optimization Induction motor PID controller Computer simulation

作者: Xia-bo Shi Wei-xing Lin

作者单位: Faculty of Information Science and Technology, University of Ningbo, Ningbo, Zhejiang, China

会议类型: 国际会议

会议名称: 2011 3nd International Conference on Mechanical and Electronics Engineering(2011年第三届机械与电子工程国际会议 ICMEE2011)

会议地点: 合肥

会议语种:英文

页码: 1938-1942

在线出版日期: 2011-09-23（万方平台首次上网日期，不代表论文的发表时间）