基于PSO算法的大时滞过程双自由度内模控制器设计  

Two-degree-of-freedom IMC Design Based on PSO Algorithm for Large Time Delay Process

作　　者：汤伟[1,2] 袁志敏[2] 党世红[2] TANG Wei;YUAN Zhi-min;DANG Shi-hong(Industrial Automation Institute,Shaanxi University of Science and Technology,Xi an,Shaanxi Province,710021;College of Electric and Information Engineering,Shaanxi University of Science and Technology,Xi an,Shaanxi Province,710021)

机构地区：[1]陕西科技大学工业自动化研究所,陕西西安710021 [2]陕西科技大学电气与信息工程学院,陕西西安710021

出　　处：《中国造纸学报》2018年第3期43-48,共6页Transactions of China Pulp and Paper

基　　金：陕西省科技统筹创新工程计划项目(No.2012KTCQ01-19);陕西省重点科技创新团队计划项目(No.2014KCT-15)

摘　　要：借助双控制器设计技术和粒子群优化(PSO)算法,提出了一种基于PSO算法的双自由度内模控制方法,即PSO-TDF-IMC,并用于对大时滞工业过程的控制。该方法的基本思想是:以时间乘误差绝对值积分(ITAE)为目标函数,运用PSO算法,优化整定IMC滤波器时间常数。MATLAB仿真结果表明,PSO-TDF-IMC具有算法简单、搜索速度快、效率高等优点,可明显提高双自由度内模控制系统的设定值跟踪性能和鲁棒性能。With the aid of two-controller design technique and particle swarm optimization(PSO)algorithm,a two-degree-of-freedom(TDF)internal model control(IMC)method based on PSO algorithm was proposed,which was suitable for large time delay process.The basic idea of this method was illustrated as follows:taking integral time absolute error(ITAE)as target function,the TDF-IMC filtering time constants were optimized by PSO algorithm.It was indicated by MATLAB simulation results that the proposed TDF-IMC method based on PSO algorithm had such advantages as simplicity for algorithm,fast searching speed and high efficiency,which could improve the setpoint tracking performance and robustness of the TDF-IMC system.

关 键 词：大时滞过程 双自由度IMC PSO算法 滤波器时间常数优化 

分 类 号：TS736[轻工技术与工程—制浆造纸工程] TP312[自动化与计算机技术—计算机软件与理论]