Integrating with Sliding Mode and Fuzzy Controller Based on Real-valued Genetic Algorithms
نویسندگان
چکیده
In this paper, we design fuzzy sliding mode controller by real-value genetic algorithms. In the process of designing the proposed controller, we firstly employ the sliding mode control technique to design the fuzzy rules, so that the fuzzy controller has the characteristics of stability and robustness. Next, we adopt the Takagi-Sugeno’s fuzzy mode to construct the fuzzy control rules and to obtain the fuzzy controller. Finally, the parameters of fuzzy controller are obtained by using real-value genetic algorithms for achieving the better response. The simulation results that suppose the theoretical results are also presented. Key-Words:Sliding mode, Takagi-Sugeno’s fuzzy mode, fuzzy controller, genetic algorithms.
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