| Design of TakagiSugeno fuzzy model based nonlinear sliding model controller |
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| 引用本文： | Xu Yong 1,2,Chen Zengqiang1 & Yuan Zhuzhi1(1. Dept. of Automation,Nankai Univ.,Tianjin 300071,P. R. China,2. School of Science,Hebei Univ. of Technology,Tianjin 300130,P. R. China). Design of TakagiSugeno fuzzy model based nonlinear sliding model controller[J]. 系统工程与电子技术(英文版), 2005, 16(4) |
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| 作者姓名： | Xu Yong 1 2 Chen Zengqiang1 & Yuan Zhuzhi1(1. Dept. of Automation Nankai Univ. Tianjin 300071 P. R. China 2. School of Science Hebei Univ. of Technology Tianjin 300130 P. R. China) |
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| 作者单位： | 1. Dept. of Automation，Nankai Univ.，Tianjin 300071，P. R. China;2. School of Science，Hebei Univ. of Technology，Tianjin 300130，P. R. China |
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| 基金项目： | ThisprojectwassupportedbytheNationalNaturalScienceFoundationofChina(60174021,60374037) |
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| 摘 要： | 1.INTRODUCTION Sincethefirstpaperonfuzzysetswaspublished,fuzzy logiccontrol(FLC)hasattractedgreatattentionfrom boththeacademicandindustrialcommunities.Much progresshasbeenmadeinsuccessfullyapplyingFLCto industrialcontrolsystems.Manytheoreticalresultsabout stabilityanalysisanddesignoffuzzylogiccontrollersys temshavealsobeenobtained.Amongvariouskindsoffuzzycontrolmethods,manycontroldesignmethodshavebeenproposedon theTakagi Sugeno(T S)fuzzymodel[1].Thebasic ideaofthesemethodsincludestwos…
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Design of Takagi-Sugeno fuzzy model based nonlinear sliding model controller |
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| Xu Yong,Chen Zengqiang,Yuan Zhuzhi. Design of Takagi-Sugeno fuzzy model based nonlinear sliding model controller[J]. Journal of Systems Engineering and Electronics, 2005, 16(4) |
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| Authors: | Xu Yong Chen Zengqiang Yuan Zhuzhi |
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| Affiliation: | 1. Dept. of Automation, Nankai Univ., Tianjin 300071, P. R. China;School of Science, Hebei Univ. of Technology, Tianjin 300130, P. R. China
2. Dept. of Automation, Nankai Univ., Tianjin 300071, P. R. China |
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| Abstract: | A design method is presented for TakagiSugeno (TS) fuzzy model based nonlinear sliding model controller. First, the closedloop fuzzy system is divided into a set of dominant local linear systems according to operating subregions. In each subregion the fuzzy system consists of nominal linear system and a group of interacting systems. Then the controller composed two parts is designed. One part is designed to control the nominal system, the other is designed to control the interacting systems with sliding mode theory. The proposed controller can improve the robustness and guarantee tracking performance of the fuzzy system. Stability is guaranteed without finding a common positive definite matrix. |
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| Keywords: | sliding model control fuzzy control TS fuzzy model Lyapunov stability |
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