Abstract
In this paper the problem of setting the initial values for tho parameters of a class of controllers is approached using genetic algorithms. The controller parameters, computed off-line via the optimization of a quadratic error performance index, can be used to initialize the controller incorporated in the real plant. During the on-line control stage and to increase the overall performance, other tuning mechanisms can be considered [5].
In the application described in this paper, the population strings are build juxtaposing 8 bits substrings quantifying the controllers’ parameters, covering the search subspace. Due to the nature of the control problem (reference following) the quadratic functional is chosen as the fitness function.
PID controllers are applied to a significant set of simulated plants and results are presented. A comparison is made between the results obtained for an LQ controller, synthesized solving a Ricatti equation and the results obtained with the GAs optimization procedure.
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© 1991 Springer Science+Business Media Dordrecht
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Oliveira, P., Sequeira, J., Sentieiro, J. (1991). Selection of Controller Parameters using Genetic Algorithms. In: Tzafestas, S.G. (eds) Engineering Systems with Intelligence. Microprocessor-Based and Intelligent Systems Engineering, vol 9. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-2560-4_49
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DOI: https://doi.org/10.1007/978-94-011-2560-4_49
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-5130-9
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