Abstract
In this chapter we propose the use of a hybrid PSO-GA optimization method for automatic design of fuzzy logic controllers (FLC) to minimize the steady state error of a plant’s response. We test the optimal FLC obtained by the hybrid PSO-GA method applied on linear systems using benchmark plants [49]. The bio-inspired and the evolutionary methods are used to find the parameters of the membership functions of the FLC to obtain the optimal controller [50]. Simulation results are obtained with Simulink showing the feasibility of the proposed approach. A comparison is also made among the proposed Hybrid PSO-GA, GA and PSO to determine if there is a significant difference in the results [49, 50].
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© 2012 Springer-Verlag Berlin Heidelberg
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Castillo, O. (2012). A Hybrid PSO-GA Optimization Method to Design Type-1 and Type-2 Fuzzy Logic Controllers. In: Type-2 Fuzzy Logic in Intelligent Control Applications. Studies in Fuzziness and Soft Computing, vol 272. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24663-0_8
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DOI: https://doi.org/10.1007/978-3-642-24663-0_8
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-642-24663-0
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