On-line Particle Swarm Optimization of Anti-Windup Speed Controller for PMSM Drive System

摘要：

In this paper, we describe a new optimum design procedure for speed controller considering anti-windup for PMSM drive system. Tuning of speed controller is complicated by nonlinearities. Usual practice obtains controller settings with conventional linear analysis methods and then tunes the settings using trial-and-error methods during commissioning. An alternative approach, using Particle Swarm Optimization algorithm devised to test and compare different parameters of speed controller, we search for the anti-windup speed controller to achieving the optimal compromise of variable speed at full load. The search is performed on-line, on the physical hardware, by continuously downloading and testing new solutions on a DSP running the control algorithms in real time. The controller obtained through PSO significantly outperforms alterative schemes obtained with conventional design techniques.

作者: Shuai YAN Dianguo XU Xianguo GUI Ming YANG

作者单位: Harbin institute ot technology,Harbin,150001,China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）