Adaptive fuzzy decentralized control for interconnected MIMO nonlinear subsystems |
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| Authors: | H. Yousef [Author Vitae] E. El-Madbouly [Author Vitae] [Author Vitae] |
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| Affiliation: | a Department of Electrical Engineering, Faculty of Engineering, Alexandria University, Alexandria-21544, Egypt
b Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menofia University, Menof-32952, Egypt |
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| Abstract: | This paper describes an adaptive fuzzy control strategy for decentralized control for a class of interconnected nonlinear systems with MIMO subsystems. An adaptive robust tracking control schemes based on fuzzy basis function approach is developed such that all the states and signals are bounded. In addition, each subsystem is able to adaptively compensate for disturbances and interconnections with unknown bounds. The resultant adaptive fuzzy decentralized control with multi-controller architecture guarantees stability and convergence of the output errors to zero asymptotically by local output-feedback. An extensive application example of a three-machine power system is discussed in detail to verify the effectiveness of the proposed algorithm. |
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| Keywords: | Interconnected nonlinear MIMO subsystems Adaptive fuzzy control Multi-machine power system Stability |
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