Design of Linear Matrix Inequality-Based Adaptive Barrier Global Sliding Mode Fault Tolerant Control for Uncertain Systems with Faulty Actuators
Kamran Naseri,
Mai The Vu,
Saleh Mobayen,
Amin Najafi and
Afef Fekih
Additional contact information
Kamran Naseri: Department of Electrical Engineering, University of Zanjan, Zanjan 45195-313, Iran
Mai The Vu: School of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, Korea
Saleh Mobayen: Department of Electrical Engineering, University of Zanjan, Zanjan 45195-313, Iran
Amin Najafi: Department of Electrical Engineering, University of Zanjan, Zanjan 45195-313, Iran
Afef Fekih: Department of Electrical and Computer Engineering, University of Louisiana at Lafayette, Lafayette, LA 70504, USA
Mathematics, 2022, vol. 10, issue 13, 1-14
Abstract:
This paper proposes a linear matrix inequality (LMI)-based adaptive barrier global sliding mode control (ABGSMC) for uncertain systems with faulty actuators. The proposed approach is derived using a novel global nonlinear sliding surface to guarantee the global dynamic property and to ensure system stability and the occurrence of sliding in the presence of actuator faults. The optimal coefficients of the sliding surface are determined using the LMI method. The system’s asymptotic stability is proven using Lyapunov theory. Additionally, an adaptive barrier function is considered to ensure the convergence of the output variables to a predefined locality of zero in a limited time, even where external disturbances and actuator faults are present. In order to decrease the steepness of the control action and mitigate the chattering phenomenon, the hyperbolic tangent function is employed instead of the signum function in the sliding mode control. The proposed method is validated using a simulation study of the Genesio’s chaotic system.
Keywords: sliding mode control; actuator fault; linear matrix inequality; adaptive control; uncertain system (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2022:i:13:p:2159-:d:843838
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