The Study of Optimal Fuzzy PID-Smith Control Based on Genetic Algorithm

Dian Ting Liu; Hai Xia Li

doi:10.4028/www.scientific.net/AMM.313-314.448

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 313-314The Study of Optimal Fuzzy PID-Smith Control Based...

The Study of Optimal Fuzzy PID-Smith Control Based on Genetic Algorithm

Abstract:

In this paper, the improved genetic algorithm is applied to optimize the quantization factors and the scaling factors of fuzzy control, and the optimized rule table and membership functions is obtained according to certain performances. Then a kind of optimal fuzzy PID-Smith control method based on genetic algorithm is proposed and its simulation model is built in this paper, a second-order system is simulated and analyzed. The results show that requirements of deterministic performances of the new control method are better than the conventional methods through the simulation results in the stability, rapidity and robustness.

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Periodical:

Applied Mechanics and Materials (Volumes 313-314)

Pages:

448-452

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.313-314.448

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Online since:

March 2013

Authors:

Dian Ting Liu, Hai Xia Li

Keywords:

Fuzzy-PID Controller, Genetic Algorithm (GA), Smith Predictor

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