Multi-objective optimization approach to the ALSTOM gasifier problem

被引：26

作者：

Griffin, IA ^{[1
]}

Schroder, P ^{[1
]}

Chipperfield, AJ ^{[1
]}

Fleming, PJ ^{[1
]}

机构：

[1] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, S Yorkshire, England

来源：

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING | 2000年 / 214卷 / I6期

关键词：

H-infinity control system design; multi-objective optimization; genetic algorithms; robustness;

D O I：

10.1243/0959651001540807

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 control system design procedure based on the optimization of multiple objectives is used to realize the control design specifications of the linear gasification plant models. A multi-objective genetic algorithm (MOGA) is used in conjunction with an H-infinity loop-shaping design procedure (LSDP) in order to satisfy the requirements of this critical system. The H-infinity LSDP is used to guarantee the stability and robustness of the controller while its associated weighting matrix parameters are selected using the multi-objective search method in order to achieve performance requirements. A controller emerges which is stable but unable to completely meet some of the control objectives. Despite this shortcoming, the study is an excellent vehicle for introduction to an effective H-infinity loop-shaping procedure. Further work, beyond the scope of this challenge has subsequently produced an improved controller design.

引用

页码：453 / 468

页数：16

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