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Robust Optimal Fuzzy Control Electrical Position Servo System by a Novel Model Following Approach

Li Guomin Cao Dong Xia Changliang(Tianjin University 300072 China) Tsang K M(Hong Kong Polytechnic University)  
In order to improve the robustness of Optimal Fuzzy Control(OFC),this paper presents an Optimal Fuzzy Model Following Control(OFMFC)scheme for position servo systems The proposed scheme is based on OFC and a novel model following control architecture A Genetic Algorithm is employed to optimize fuzzy controller parameters Numerical results illustrate that the proposed control can retain optimal system performance even in the presence of significant parameter variations The comparison between OFMFC and OFC shows that OFMFC is much more robust than pure OFC scheme
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