A novel technique for controller tuning

Ruano, Antonio; Lima, João; Azevedo, Ana Beatriz da Piedade de; Duarte, N. M.; Fleming, P. J.

http://hdl.handle.net/10400.1/2203

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Authors

Ruano, Antonio

Lima, João

Azevedo, Ana Beatriz da Piedade de

Duarte, N. M.

Fleming, P. J.

Abstract(s)

Neural networks and genetic algorithms have been in the past successfully applied, separately, to controller tuning problems. In this paper we purpose to combine its joint use, by exploiting the nonlinear mapping capabilities of neural networks to model objective functions, and use them to supply their values to a genetic algorithm which performs on-line minimization. Simulation results show that this is a valid approach, offering desired properties for on-line use such as a dramatic reduction in computation time and avoiding the need of perturbing the closed-loop operation.

Keywords

Neural Networks Genetic Algorithms PID Autotuning

URI

http://hdl.handle.net/10400.1/2203

Citation

Ruano, A. E.; Lima, J. M. G.; Azevedo, A. B.; Duarte, N. M.; Fleming, P. J. A Novel Technique for Controller Tuning, Trabalho apresentado em Symposium on Intelligent Systems in Control and Measurement (Intcom’98), In Proceedings of the Symposium on Intelligent Systems in Control and Measurement (Intcom’98), Miskolc, 1999.