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http://dx.doi.org/10.5302/J.ICROS.2002.8.9.719

An Adaptive Fuzzy Sliding-Mode Control for Decoupled Nonlinear Systems  

Kim, Do-U (Dept. of Electronic Engineering Hanyang University)
Yang, Hae-Won (Dept. of Electronic Engineering Hanyang University)
Yun, Ji-Seop (Korea Atomic Energy Research Institute)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.8, no.9, 2002 , pp. 719-727 More about this Journal
Abstract
We proposed a decoupled adaptive fuzzy sliding-mode control scheme for a class of fourth-order nonlinear systems. The system is decoupled into two second-order systems such that each subsystem has a separate control target expressed in terms of sliding surface. For these sliding surfaces, we define main and sub target conditions. and, we made intermediate variables which are interconnected both surface conditions from the sub target sliding surface. Then, Two sets of fuzzy rule bases are utilized to represent the equivalent control input with unknown system functions of the main target sliding surface including intermediate variables. The membership functions of the THEN-part, which is used to construct a suitable equivalent control of sliding-mode control, are changed according to the adaptive law. With such a design scheme, we not only maintain the distribution of membership functions over state space but also reduce the computing time considerably. We apply the decoupled adaptive sliding-mode control to a nonlinear Cart-Pole system and confirms the validity of the proposed approach.
Keywords
fuzzy controller; sliding-mode controller; adaptive control;
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