A closed-loop particle swarm optimizer for multivariable process controller design

作     者：Kai HAN Jun ZHAO Zu-hua XU Ji-xin QIAN 

作者机构：State Key Lab of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou 310027 China 

出 版 物：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 (浙江大学学报（英文版）A辑（应用物理与工程）)

年 卷 期：2008年第9卷第8期

页      码：1050-1060页

摘      要：Design of general multivariable process controllers is an attractive and practical alternative to optimizing design by evolutionary algorithms (EAs) since it can be formulated as an optimization problem. A closed-loop particle swarm optimization (CLPSO) algorithm is proposed by mapping PSO elements into the closed-loop system based on control theories. At each time step, a proportional integral (PI) controller is used to calculate an updated inertia weight for each particle in swarms from its last fitness. With this modification, limitations caused by a uniform inertia weight for the whole population are avoided, and the particles have enough diversity. After the effectiveness, efficiency and robustness are tested by benchmark functions, CLPSO is applied to design a multivariable proportional-integral-derivative (PID) controller for a solvent dehydration tower in a chemical plant and has improved its performances.

主 题 词：多变量系统 自动控制理论 控制器 优化程序 

学科分类：0810[工学-土木类] 08[工学] 0805[工学-能源动力学] 0802[工学-机械学] 0835[0835] 0812[工学-测绘类] 080201[080201] 

核心收录：

D　O　I：10.1631/jzus.A0720081

馆 藏 号：203419781...