Boiler-turbine control system design using a genetic algorithm

被引：118

作者：

Dimeo, R

Lee, KY

机构：

[1] Department of Electrical Engineering, The Pennsylvania State University, University Park

来源：

IEEE TRANSACTIONS ON ENERGY CONVERSION | 1995年 / 10卷 / 04期

基金：

美国国家科学基金会;

关键词：

genetic algorithm; boiler-turbine control; optimal control; PI control;

D O I：

10.1109/60.475849

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper discusses the application of a genetic algorithm to control system design for a boiler-turbine plant. In particular we study the ability of the genetic algorithm to develop a proportional-integral (PI) controller and a state feedback controller for a non-linear multi-input/multi-output (MIMO) plant model. The plant model is presented along with a discussion of the inherent difficulties in such controller development. A sketch of the genetic algorithm (GA) is presented and its strategy as a method of control system design is discussed. Results are presented for two different control systems that have been designed with the genetic algorithm.

引用

页码：752 / 759

页数：8

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