NCS系统中二自由度内模控制器的优化设计  

Optimal Design of Two-degree-of-freedom Internal Model Controller for Networked Control System

作　　者：彭可[1] 陈志盛[2] 李仲阳[1] 陈岚[2] 

机构地区：[1]湖南师范大学工学院,长沙410081 [2]中南大学信息科学与工程学院,长沙410083

出　　处：《计算机工程与应用》2005年第21期227-229,共3页Computer Engineering and Applications

摘　　要：针对网络化控制系统中网络时滞与对象模型不确定性,提出了一种二自由度内模控制器的优化设计方法。该控制器能够实现设定值跟踪与扰动抑制过程解耦,同时在对象模型失配情况下,系统具有较强的鲁棒稳定性。对于控制器的参数采用了混沌算法进行优化,以直线伺服系统为对象的仿真实验证实了此方法的可行性。A two-degree-of-freedom internal model controller(IMC) is designed for networked control system(NCS) to deal with the network-induced delay and plant uncertainty.This controller decouples the processes of tracking and disturbance restraining.The close-loop system is robust to the model uncertainties.Chaos optimization algorithm is used to optimize the parameters of the 2-DOF IMC controller.The simulation result,which used a plant of linear motor servo-system,proved the effectiveness of the method proposed by this paper.

关 键 词：网络化控制系统 二自由度内模控制 混沌优化算法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] TP273[自动化与计算机技术—计算机科学与技术]