基于改进PSO算法的横动伺服控制系统PID参数优化  

PID Parameter Optimization of Transverse Servo Control System Based on Improved PSO Algorithm

作　　者：曹薇[1] 谢天驰 

机构地区：[1]广东水利电力职业技术学院,广州510925 [2]海南大学,海口570228

出　　处：《微特电机》2018年第1期49-51,55,共4页Small & Special Electrical Machines

基　　金：国家重点研发计划项目(2016YFC0104901);广东水利电力职业技术学院创新强校工程自主创新能力提升类项目(050117)

摘　　要：针对横动伺服控制系统的位置控制器PID参数优化问题,设计了改进粒子群算法,成功实现了参数优化。设计了改进粒子群算法及其PID参数优化原理;在已知系统传递函数的基础上,利用Z-N法进行参数初求解;利用改进粒子群算法对初解进行参数寻优,并将优化前后的系统进行动态性能对比,结果表明:优化后的高阶非线性系统动态性能更好,响应速度更快,调节时间更短。In order to solve the problem of PID parameter optimization of position controller in transverse servo control system, an improved particle swarm optimization （PSO） algorithm was designed, and the parameter optimization was real- ized successfully. The first design of improved particle swarm optimization algorithm and PID parameter optimization princi- ple. Based on the known transfer function of system, the parameters of initial solution by Z-N method, and then used the improved particle swarm optimization algorithm for the initial solution for parameter optimization, and the system dynamic performance comparison before and after optimization, the results show that the better dynamic performance order nonlinear system after optimization, faster response speed, shorter regulating time.

关 键 词：横动系统 高阶系统 非线性系统 PID 位置控制器 粒子群算法 

分 类 号：TM301.2[电气工程—电机]