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Indirect adaptive fuzzy fault-tolerant tracking control for MIMO nonlinear systems with actuator and sensor failures
Affiliation:1. Dept of Electronics, Faculty of Technology, University of Constantine 1, Campus A. Hamani, route Ain El Bey, 2500 Constantine, Algéria;2. CReSTIC Laboratory University of Reims Champagne Ardennes, France
Abstract:In this paper, an active fuzzy fault tolerant tracking control (AFFTTC) scheme is developed for a class of multi-input multi-output (MIMO) unknown nonlinear systems in the presence of unknown actuator faults, sensor failures and external disturbance. The developed control scheme deals with four kinds of faults for both sensors and actuators. The bias, drift, and loss of accuracy additive faults are considered along with the loss of effectiveness multiplicative fault. A fuzzy adaptive controller based on back-stepping design is developed to deal with actuator failures and unknown system dynamics. However, an additional robust control term is added to deal with sensor faults, approximation errors, and external disturbances. Lyapunov theory is used to prove the stability of the closed loop system. Numerical simulations on a quadrotor are presented to show the effectiveness of the proposed approach.
Keywords:Adaptive fault-tolerant control  Fuzzy systems  MIMO unknown nonlinear systems  Backstepping method  Sensor faults  Actuator faults
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