Online optimization of fuzzy-PID control of a thermal process

被引：40

作者：

Mansour, SE

Kember, GC

Dubay, R

Robertson, B

机构：

[1] Dalhousie Univ, Dept Engn Math, Halifax, NS B3J 2X4, Canada

[2] Univ New Brunswick, Dept Mech Engn, Fredericton, NB E3B 5A3, Canada

来源：

ISA TRANSACTIONS | 2005年 / 44卷 / 02期

基金：

加拿大自然科学与工程研究理事会;

关键词：

fuzzy-PID; predictive control; online optimization;

D O I：

10.1016/S0019-0578(07)60183-9

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A constrained optimization of a simple fuzzy-PID (PID-proportional integral derivative) system is designed for the online improvement of PID control performance during productive control runs. The cost function design yields a desirable balance between rise time, setpoint overshoot, and settling time to the setpoint. The constraints determined by simulation yield control performance no worse than the existing control performance during online optimization. The optimized fuzzy-PID system is compared to a similarly optimized PID controller and a benchmark model predictive controller. (c) 2005 ISA-The Instrumentation, Systems, and Automation Society.

引用

页码：305 / 314

页数：10

共 16 条

[1] PID gain scheduling using fuzzy logic [J].