ROBUST SAMPLED-DATA CONTROL OF FUZZY SYSTEMS:INTELLIGENT DIGITAL REDESIGN APPROACH
In this paper, we present an intelligent digital redesign (IDR) method for uncertain nonlinear systems which are represented by the Takagi-Sugeno (T–S) fuzzy model. The term IDR in the concerned system is to convert an analog controller into an equivalent digital one in the sense of state-matching. This paper shows that the IDR problem can be reduced to find the digital fuzzy gains minimizing the norm distance between the closed-loop states of the analog and digital control systems. The main features of the proposed IDR method are that the uncertainties in the plant dynamics are considered in the IDR condition. Also, the robust stability is well guaranteed in the proposed IDR procedure. Its constructive conditions are expressed as the linear matrix inequalities (LMIs). We visualize the feasibility of the proposed methodology through the permanent–magnet synchronous motor (PMSM) model.
intelligent digital redesign takagi-sugeno fuzzy model linear matrix inequality permanent–magnet synchronous motor model
Hwa Chang Sung Jin Bae Park
Department of Electrical and Electronic Engineering University of Yonsei Department of Electrical and Electronic EngineeringUniversity of Yonsei
国际会议
2008年拟人系统国际会议(2008 International Conference on Humanized Systems )(ICHS’08)
北京
英文
2008-10-18（万方平台首次上网日期，不代表论文的发表时间）