改进粒子群优化算法的PID交流伺服系统控制策略  

PID Control Strategy Based on Modified PSO for AC Servo System

作　　者：王卫兵[1] 韩见超[1] 王旭东[2] 周美兰[2] 周永勤[2] 刘金凤[2] 余腾伟[2] 吴晓刚[2] 赵鹏舒[2] 倪瑞雪[2] 张思艳[2] 

机构地区：[1]哈尔滨理工大学计算机科学与技术学院,黑龙江哈尔滨150080 [2]哈尔滨理工大学电气与电子工程学院,黑龙江哈尔滨150080

出　　处：《哈尔滨理工大学学报》2013年第1期85-89,共5页Journal of Harbin University of Science and Technology

基　　金：黑龙江省教育厅科学技术研究项目(11531030)

摘　　要：交流伺服系统由于其具有稳定性好、响应速度快等优点,在工控领域得到了广泛应用.但是采用传统控制策略难以获得满意的控制效果.针对这一问题,本文提出一种基于改进粒子群优化算法的PID控制策略,利用粒子群算法对控制器的初始参数进行优化,消除控制器的初始值对控制效果的影响,同时克服不确定因素对系统响应性能的不利影响,使其达到最佳工作状态.Matlab仿真结果表明,该控制策略有收敛速度快、控制精确度高及抗干扰能力强等优越性,改善了常规PID控制器的性能.AC servo system has many advantages such as lower noise, higher efficiency and higher redibility, so it has been used more and more widely in the engineering-control field. But it is hard to obtain satisfactory re- suits by using the methods of traditional PID. To meet the problem, a control strategy of PID based on the modified PSO is presented. The original parameters controlier are optimized with PSO, which decrease the effect of control for the initial controller value, and a the same time, overcomes the adverse effect generated by the uncertainty to reach the best working conditions. Finally, it is carried out in the Matlab simulation. The simulation results in the Maflab indicate that this control strategy owns fast convergence, high control precision and suppression capacity to counteract disturbance and improve the performance of PID controller.

关 键 词：交流伺服系统 改进粒子群优化算法 PID控制策略 

分 类 号：TP273.5[自动化与计算机技术—检测技术与自动化装置]