PSO算法在數控機床交流伺服系統PID參數優化中的應用:摘要：針對發展高精度數控機床的要求，在數控機床交流伺服控制系統中，本文提出了一種新的永磁同步電機控制策略，即利用粒子群算法對模糊控制器的三個比例因子參數a k 、b k 和u k 進行全局優化，充分發揮模糊控制器的魯棒性。仿真結果表明，采用PSO算法進行PID 參數優化的數控機床交流伺服系統的運動控制具有很強的魯棒性和動態性能，是一種切實可行的控制方法。
關鍵詞：粒子群優化； 伺服系統； 永磁同步電機； 模糊控制器

Self-tuning of PID Parameters of AC Servo System in NC Machine Tools Based
on Particle Swarm Optimization Chen Shuang
（Liao Yuan Institute of Technology, Liaoyuan, 136201, China）
Abstract：According to the request of developing high accuracy NC machine tools, in feeding servo system, an improved particle swarm optimization was used to optimize proportional parameters such as a k , b k and u k of fuzzy logical controller increasing the robustness of overall system. Simulation result shows that the use of particle swarm optimization makes the drive robust, with faster dynamic response. And the control method is available for AC servo control system.
Key words: particle swarm optimization; servo system; permanent-magnet synchronous machine; fuzzy logical controller