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基于粒子群优化算法的自抗扰控制器设计
引用本文:史永丽,侯朝桢,苏海滨.基于粒子群优化算法的自抗扰控制器设计[J].系统仿真学报,2008,20(2):433-436.
作者姓名:史永丽  侯朝桢  苏海滨
作者单位:北京理工大学自动控制系,北京 10008I
摘    要:针对自抗扰控制器参数难以整定的问题,提出了基于粒子群优化算法的自抗扰控制器优化设计方法。该设计方法的实质就是选择合适的适应度函数,利用粒子群优化方法对自抗扰控制器的可调参数进行优化。设计方法运算简单,易于实现。对某炮控伺服系统的仿真研究表明,这种方法是可行的。

关 键 词:自抗扰控制  粒子群优化  伺服系统  参数优化
文章编号:1004-731X(2008)02-433-04
收稿时间:2006-11-05
修稿时间:2007-01-05

Auto-disturbance-rejection Controller Design Based on Particle Swarm Optimization Algorithm
SHI Yong-li,HOU Chao-zhen,SU Hai-bing.Auto-disturbance-rejection Controller Design Based on Particle Swarm Optimization Algorithm[J].Journal of System Simulation,2008,20(2):433-436.
Authors:SHI Yong-li  HOU Chao-zhen  SU Hai-bing
Abstract:A novel design method for the auto-disturbance-rejection controllers(ADRC)was proposed to deal with the difficulty in the parameter regulation of the ADRC.The particle swarm optimization(PSO)algorithms were employed in this method and the optimal ADRC parameters could be founded automatically to make the selected fitness function minimized. This proposed approach has superior features,including good computational efficiency and easy implementation.Simulation results of a certain gun servo system indicate that the optimal design method is feasible.
Keywords:auto-disturbance-rejection control  particle swarm optimization  servo systems  parameter optimization
本文献已被 CNKI 维普 万方数据 等数据库收录!
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