ADAPTIVE FUZZY SLIDING MODE CONTROL FOR UNCERTAIN NONLINEAR SYSTEMS AGAINST ACTUATOR FAULTS
Author(s) -
Meriem Benbrahim,
Najib Essounbouli,
Abdelaziz Hamzaoui,
Ammar Betta
Publication year - 2010
Publication title -
proceedings of the 15th international conference on informatics in control, automation and robotics
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0002883600920097
Subject(s) - control theory (sociology) , actuator , sliding mode control , nonlinear system , mode (computer interface) , adaptive control , fuzzy control system , computer science , fuzzy logic , control engineering , control (management) , engineering , artificial intelligence , physics , quantum mechanics , operating system
In this paper, we propose to combine the fuzzy sliding mode control to tolerate actuator faults of unknown nonlinear systems subject to external disturbances. In particular, the idea of using adaptive fuzzy system to tolerate actuator faults of unknown nonlinear systems by approximating the system functions and the effects caused by actuator faults are avoided by the control structure. On the basis of Lyapunov stability theory its shown that the resulting adaptive closed loop system can be guaranteed to be asymptotically stable in the presence of faults on actuators and disturbances.
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