本文提出了一種新的考慮到anti-windup的永磁交流伺服系統速度控制器的優化設計方案，補償了速度控制器整定的非線性。通常采用傳統的線性分析方法獲得控制器參數，然后通過嘗試法再調節控制器設定，本文使用一個變通的方法，即微粒子群的優化策略去測試和補償速度控制器的參數變化。本文研究了滿載情況下考慮到anti-windup的速度控制器優化方法，在DSP硬件平臺上得到了這種控制策略連續實時的測試結果。證明了PSO方法能夠替代傳統的設計技術。
Abstract: 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.
關鍵詞：微粒子群， 永磁交流伺服系統， 整定
Keyword: Particle swarm, PMSM servo system, tuning