基于蚁群算法的交流永磁伺服系统控制器参数寻优研究  

Optimization for Controller Parameters of AC Permanent Magnet Servo System Based on Ant Colony Algorithm

作　　者：陶涛 林荣文[1] 李伟起 TAO Tao;LIN Rong-wen;LI Wei-qi(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,China)

机构地区：[1]福州大学电气工程与自动化学院,福建福州350108

出　　处：《电气开关》2020年第3期64-69,共6页Electric Switchgear

摘　　要：永磁同步电机是一个强耦合,非线性的复杂电磁机械系统,为了实现电机速度和电流跟踪的快速性和稳定性,永磁同步电机伺服系统常采用PI控制策略,而高性能的电机伺服系统需要比较精确的控制器PI参数,这时常用的人工调节或经验公式已经不能满足精度要求,针对这一问题,提出了一种利用蚁群算法进行PI参数寻优的方法。在matlab\simulink中进行仿真研究,实验表明,经过该算法寻优得到的PI参数能够满足永磁同步电机速度响应短,稳定性高的要求,具有较好的动静态性能。PMSM is a strong coupling,non-linear and complex electromagnetic mechanical system.In order to realize the speed and current tracking of the motor quickly and stably,PMSM servo system usually adopts PI control strategy,while high-performance motor servo system needs more precise controller PI parameters.At this time,common manual regulation or empirical formula can not meet the accuracy To solve this problem,an ant colony algorithm is proposed to optimize the PI parameters.The simulation results in Matlab\Simulink show that the PI parameters obtained by the algorithm can meet the requirements of short speed response,high stability and good dynamic and static performance.

关 键 词：永磁同步电机 伺服系统 蚁群算法 PI寻优 

分 类 号：TM341[电气工程—电机]