PSO算法在數(shù)控機床交流伺服系統(tǒng)PID參數(shù)優(yōu)化中的應(yīng)用:摘要：針對發(fā)展高精度數(shù)控機床的要求，在數(shù)控機床交流伺服控制系統(tǒng)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(shù)a k 、b k 和u k 進行全局優(yōu)化，充分發(fā)揮模糊控制器的魯棒性。仿真結(jié)果表明，采用PSO算法進行PID 參數(shù)優(yōu)化的數(shù)控機床交流伺服系統(tǒng)的運動控制具有很強的魯棒性和動態(tài)性能，是一種切實可行的控制方法。
關(guān)鍵詞：粒子群優(yōu)化； 伺服系統(tǒng)； 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