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
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
收藏
页码:453 / 468
页数:16
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