(Advanced Systems Laboratory, Tunisian Polytechnic School, Tunisia)(2) Habib Hamdi
(Tunisian Polytechnic School, Tunisia)(3) Bouali Rabaoui
(Tunisian Polytechnic School, Tunisia)(4) Naceur BenHadj Braiek
(Tunisian Polytechnic School, Tunisia)*corresponding author
AbstractThis paper considers the problem of Fault Tolerant Tracking Control (FTTC) strategy design for nonlinear systems using Takagi-Sugeno (T-S) fuzzy models with measurable premise variables affected by actuator faults subject to unknown bounded disturbances (UBD). Firstly, the Adaptive Fuzzy Observer (AFO) is proposed to estimate the faults. Based on the information provided by this observer, an active fault tolerant tracking controller described by an adaptive Proportional-Integral-Derivative (PID) structure has been developed to compensate for the actuator fault effects and to guarantee the trajectory tracking of desired outputs to the reference model despite the presence of actuator faults. The stability and the trajectory tracking performances of the proposed approach are analyzed based on the Lyapunov theory. Sufficient conditions can be obtained and solved for the design of the controller, and the observer gains using Linear Matrix Inequalities (LMIs). Finally, the effectiveness of the proposed technique is illustrated by using a single-link flexible joint robot.
KeywordsT-S fuzzy systems; PID Fault Tolerant Tracking Control; Adaptive Fuzzy Observer; Single-link flexible joint robot; LMIs Constraints;
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DOIhttps://doi.org/10.31763/ijrcs.v2i3.762 |
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