Application of genetic algorithm in optimal pid gain tuning for heavy duty gas turbine plant

Joint Authors

Xavier, R. Joseph
Jeyakumar, A. Ebenezer
Balamurugan, S.

Source

Journal of Electrical Systems

Issue

Vol. 4, Issue 4 (31 Dec. 2008), pp.1-10, 10 p.

Publisher

Piercing Star House

Publication Date

2008-12-31

Country of Publication

Algeria

No. of Pages

10

Main Subjects

Mechanical Engineering

Topics

Abstract EN

Gas turbine generators are commonly used in isolated operation.

These generators may become unstable under severe load fluctuations.

To maintain system stability an effective design and control is required.

Ziegler-Nichols’ method (ZN) and performance index method have been used to design PID controller.

Genetic algorithm (GA) is used for finding out the optimal gain values of PID controller.

The results show that GA tuned PID controller provides optimal time domain performance of the system.

American Psychological Association (APA)

Balamurugan, S.& Xavier, R. Joseph& Jeyakumar, A. Ebenezer. 2008. Application of genetic algorithm in optimal pid gain tuning for heavy duty gas turbine plant. Journal of Electrical Systems،Vol. 4, no. 4, pp.1-10.
https://search.emarefa.net/detail/BIM-171140

Modern Language Association (MLA)

Balamurugan, S.…[et al.]. Application of genetic algorithm in optimal pid gain tuning for heavy duty gas turbine plant. Journal of Electrical Systems Vol. 4, no. 4 (Dec. 2008), pp.1-10.
https://search.emarefa.net/detail/BIM-171140

American Medical Association (AMA)

Balamurugan, S.& Xavier, R. Joseph& Jeyakumar, A. Ebenezer. Application of genetic algorithm in optimal pid gain tuning for heavy duty gas turbine plant. Journal of Electrical Systems. 2008. Vol. 4, no. 4, pp.1-10.
https://search.emarefa.net/detail/BIM-171140

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 10

Record ID

BIM-171140