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Adaptive Type-2 Fuzzy Sliding Mode Controller for SISO Nonlinear Systems Subject to actuator faults

International Journal of Automation and computing 2013年第4期10卷 335-342页

作者： Meriem Benbrahim Najib Essounbouli Abdelaziz Hamzaoui Ammar Betta Research Center on Science and Technology of Information and Communication University of Reims Champagne Ardenne University Institute of Technology of Troyes Troyes F10026 France University of Hadj Lakhdar Batna Boukhlouf Med Elhadi StreetBatna 05000 Algeria

In this paper, an adaptive type-2 fuzzy sliding mode control to tolerate actuator faults.of unknown nonlinear systems with external disturbances is presented. Based on a redundant actuation structure, a novel type-2 adaptive fuzzy fault tolerant control scheme is proposed using sliding mode control. Two adaptive type-2 fuzzy logic systems are used to approximate the unknown functions, whose adaptation laws are deduced from the stability analysis. The proposed approach allows to ensure good tracking performance despite the presence of actuator failures and external disturbances, as illustrated through a simulation example.

关键词： Type-2 fuzzy systems fault tolerant control sliding mode control adaptive system actuator faults.

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Adaptive Performance-Constrained Synchronization Control for Hypersonic Flight Vehicle Swarms: A Novel Finite-Time Convergence Protocol Methodology

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Guidance, Navigation and Control 2023年第2期3卷 82-111页

作者： Maolong Lv Chuhan Zhou Air Traffic Control and Navigation College Air Force Engineering University Xi'an ShaanriP.R.China

This paper proposes a novel neural adaptive performance-constrained synchronization tracking control algorithm for multiple hypersonic flight vehicles(HFVs),which are subject to actuator faults.and full-state *** proposed method is based on advanced Lyapunov finite-time stability theory and a sophisticated backstepping design *** longitudinal model of HFV is converted into velocity and altitude subsystems through functional *** method presents three significant contributions over the existing state-of-the-art approaches:(a)ensuring finite-time convergence of HFVs systems by guaranteeing that the setting time is lower bounded by a positive constant that is related to the initial states;(b)utilizing a tan-type Barrier Lyapunov function(BLF)to ensure that the synchronization tracking errors of velocity,altitude,flight path angle,angle of attack,and pitch angle rate are maintained within certain performance bounds;and(c)designing a neural adaptive control algorithm and adaptive parameter laws by combining the backstepping design technique and radial basisfunction neural networks(RBFNNs)to handle unknown actuator faults.and modeling ***,comparative simulations are conducted to validate the efficacy of the proposed scheme.

关键词： Hypersonic flight vehicles(HFVs) finite-time convergence state constraints neural adaptive synchronization control actuator faults.

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