Chaotic optimization Smith predictor

Abstract

Abstract: A method of on-line chaotic optimization Smith predictor parameters was proposed, which could solve the problem of controller failure caused by the Smith predictive compensator parameters uncertainty. This method could online identification based on chaotic ergodicity. Parameters of predictor and controller were determined by the identified model. When the model was changed, the controller could adaptively adjust the parameters. This method has the advantages of automatic recognition system of controlled object, strong pertinence, rolling optimization. The simulation of the mathematical model for the controlled object was done, and the simulation results show that the control method with a strong tracking ability and robustness.

Key words: chaos, optimization, Smith predictor, adaptive

References

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