Design of TakagiSugeno fuzzy model based nonlinear sliding model controller  

作　　者：Xu gong Chen Zengqiang Yuan Zhuzhi 

机构地区：[1]Dept. of Automation, Nankai Univ., Tianjin 300071, P. R. China [2]School of Science, Hebei Univ. of Technology, Tianjin 300130, P. R. China

出　　处：《Journal of Systems Engineering and Electronics》2005年第4期847-851,共5页系统工程与电子技术（英文版）

基　　金：ThisprojectwassupportedbytheNationalNaturalScienceFoundationofChina(60174021,60374037)

摘　　要：A design method is presented for Takagi-Sugeno （T-S） fuzzy model based nonlinear sliding model controller. First, the closed-loop fuzzy system is divided into a set of dominant local linear systems according to operating sub-regions. In each sub-region 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 robusmess and gnarantee tracking performance of the fuzzy system. Stability is guaranteed without finding a common positive definite matrix.A design method is presented for Takagi-Sugeno （T-S） fuzzy model based nonlinear sliding model controller. First, the closed-loop fuzzy system is divided into a set of dominant local linear systems according to operating sub-regions. In each sub-region 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 robusmess and gnarantee tracking performance of the fuzzy system. Stability is guaranteed without finding a common positive definite matrix.

关 键 词：sliding model control fuzzy control T-S fuzzy model Lyapunov stability 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]