Robust Fuzzy Sliding Mode Controller for Discrete Nonlinear Systems
Author(s) -
Hafedh Abid,
Mohamed Chtourou,
Ahmed Toumi
Publication year - 2008
Publication title -
international journal of computers communications and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.422
H-Index - 33
eISSN - 1841-9844
pISSN - 1841-9836
DOI - 10.15837/ijccc.2008.1.2370
Subject(s) - sliding mode control , control theory (sociology) , inverted pendulum , fuzzy logic , variable structure control , nonlinear system , controller (irrigation) , robust control , fuzzy control system , mode (computer interface) , computer science , mathematics , control (management) , physics , artificial intelligence , quantum mechanics , agronomy , biology , operating system
In this work we are interested to discrete robust fuzzy sliding mode control. The discrete SISO nonlinear uncertain system is presented by the Takgi- Sugeno type fuzzy model state. We recall the principle of the sliding mode control theory then we combine the fuzzy systems with the sliding mode control technique to compute at each sampling time the control law. The control law comports two terms: equivalent control law and switching control law which has a high frequency. The uncertainty is replaced by its upper bound. Inverted pendulum and mass spring dumper are used to check performance of the proposed fuzzy robust sliding mode control scheme.
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