基于微粒子群算法的Anti-Windup伺服系统速度控制器优

本文提出了一种新的考虑到anti-windup的永磁交流伺服系统速度控制器的优化设计方案，补偿了速度控制器整定的非线性。通常采用传统的线性分析方法获得控制器参数，然后通过尝试法再调节控制器设定，本文使用一个变通的方法，即微粒子群的优化策略去测试和补偿速度控制器的参数变化。本文研究了满载情况下考虑到anti-windup的速度控制器优化方法，在DSP硬件平台上得到了这种控制策略连续实时的测试结果。证明了PSO方法能够替代传统的设计技术。
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.
关键词：微粒子群， 永磁交流伺服系统， 整定
Keyword: Particle swarm, PMSM servo system, tuning