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

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4 Author(s)
Jones, A.H. ; Intelligent Machinery Div., Salford Univ., UK ; Ajlouni, N. ; Kenway, S.B. ; de Moura Oliveira, P.B.

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

Published in:

Intelligent Control, 1996., Proceedings of the 1996 IEEE International Symposium on

Date of Conference:

15-18 Sep 1996

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