Adaptive hydrogenerator governor tuning with a genetic algorithm

Author

Lansberry, John E. ; Wozniak, L.

Author_Institution

Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA

Volume

9

Issue

1

fYear

1994

fDate

3/1/1994 12:00:00 AM

Firstpage

179

Lastpage

185

Abstract

An important aspect of a good control algorithm is robustness with respect to changing plant parameters. Adaptive control strategies attempt to address the robustness issue by optimizing control parameters as changes occur in the plant. This paper investigates the genetic algorithm as one possible means of adaptively optimizing the gains of a proportional-plus-integral hydrogenerator governor. Previous work has shown that the genetic algorithm can effectively optimize the control parameters for a fixed plant. An enhanced version of the genetic algorithm, using the notions of diploidy and dominance, can be used to address the robustness issue. Here, changes in the conduit time constant as well as load constant are considered. It is shown that the genetic algorithm can effectively follow changes in the plant parameters, producing optimal control parameters in an adaptive environment

Keywords

adaptive control; control system analysis; genetic algorithms; hydroelectric generators; machine control; optimal control; tuning; two-term control; Adaptive control; conduit time constant; diploidy; dominance; genetic algorithm; hydrogenerator generator governor; load constant; optimal control; proportional-plus-integral control; robustness; tuning; Adaptive control; Analog computers; Cost function; Genetic algorithms; Interconnected systems; Power generation; Robust control; Robustness; Stability; Torque;

fLanguage

English

Journal_Title

Energy Conversion, IEEE Transactions on

Publisher

ieee

ISSN

0885-8969

Type

jour

DOI

10.1109/60.282490

Filename

282490