Multi-objective Optimization of Controller for Process with Reverse Response and Dead Time  

作　　者：王国良 邵惠鹤 

机构地区：[1]Department of Automation,Shanghai Jiaotong University [2]Department of Automation,University of Shanghai for Science and Technology

出　　处：《Journal of Donghua University(English Edition)》2009年第3期270-274,共5页东华大学学报（英文版）

基　　金：National Natural Science Foundation of China (No.60504033)

摘　　要：Due to the difficulty of controlling the process with inverse response and dead time,a Multi-objective Optimization based on Genetic Algorithm (MOGA) method for tuning of proportional-integral-derivative (PID) controller is proposed. The settings of the controller are valued by two criteria,the error between output and reference signals and control moves. An appropriate set of Pareto optimal setting of the PID controller is founded by analyzing the results of Pareto optimal surfaces for balancing the two criteria. A high order process with inverse response and dead time is used to illustrate the results of the proposed method. And the efficiency and robustness of the tuning method are evident compared with methods in recent literature.Due to the difficulty of controlling the process with inverse response and dead time, a Multi-objective Optimization based on Genetic Algorithm （MOGA） method for tuning of proportional-integral-derivative （ PID ） controller is proposed. The settings of the controller are valued by two criteria, the error between output and reference signals and control moves. An appropriate set of Pareto optimal setting of the PID controller is founded by analyzing the results of Pareto optimal surfaces for balancing the two criteria. A high order process with inverse response and dead time is used to illustrate the results of the proposed method. And the efficiency and robustness of the tuning method are evident compared with methods in recent literature.

关 键 词：reverse response proportionat-integral-derivative （ PID ） controller Genetic Algorithm multi-objective optionization 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] O224[自动化与计算机技术—控制科学与工程]