NDLI: Genetic design of robust PID controllers to deal with prescribed plant uncertainties through a process of competitive co-evolution

Content Provider	IEEE Xplore Digital Library
Author	Jones, A.H. Ajlouni, N. Kenway, S.B. De Moura Oliveira, P.B.
Copyright Year	1996
Description	Author affiliation: Intelligent Machinery Div., Salford Univ., UK (Jones, A.H.)
Abstract	Artificial co-evolutionary techniques are proposed in a new and novel paradigm to solve the problem of designing a robust fixed PID controller for a plant with prescribed plant uncertainties. The co-evolutionary scheme used, involves generating two separate populations, one representing the controller and the other the plant. Two separate cost functions are then used in the co-evolutionary scheme to reflect the different goals of the two populations. The two populations are then co-evolved such that the population of plants, with the prescribed uncertainties, contains the set of difficult plants to control and a population of controllers emerges, which can control all these difficult plants effectively. The resulting paradigm not only results in a robust controller design but also produces a set of worst case plants. This co-evolutionary approach is illustrated through co-evolving a PID controller for a linear plant which has a set of prescribed uncertainties.
Starting Page	372
Ending Page	377
File Size	561918
Page Count	6
File Format	PDF
ISBN	0780329783
ISSN	21589860
DOI	10.1109/ISIC.1996.556230
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-09-15
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robust control Three-term control Uncertainty Robustness Control systems Genetic algorithms Cost function Uncertain systems Evolution (biology) Machinery
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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