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.
出处
《计算机工程与应用》
CSCD
北大核心
2005年第21期227-229,共3页
Computer Engineering and Applications
