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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
Issue
Vol. 4, Issue 4 (31 Dec. 2008), pp.1-10, 10 p.
Publisher
Publication Date
2008-12-31
Country of Publication
Algeria
No. of Pages
10
Main Subjects
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