4.6 Article

Integral-based event-triggered fault estimation and impulsive fault-tolerant control for networked control systems applied to underwater vehicles

Journal

NEUROCOMPUTING
Volume 442, Issue -, Pages 36-47

Publisher

ELSEVIER
DOI: 10.1016/j.neucom.2021.02.035

Keywords

Networked control systems (NCSs); Impulsive fault-tolerant control (IFTC); Actuator fault; Integral-based event-triggered mechanism; (IETM); Underwater vehicle

Funding

  1. National Natural Science Foundation of China [U1909206, 61903052, 62003065, 62003008, 61903007]
  2. Chongqing Natural Science Foundation [cstc2019jcyjmsxm2068]

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This article discusses fault estimation and impulsive fault-tolerant control for networked control systems using an integral-based event-triggered mechanism. A novel fault and state estimation observer is established, and a impulsive fault tolerant controller is designed to enhance reliability and safety. The global asymptotical stability for the estimation error system is determined using augmented Lyapunov-Kroasovskii functional.
This article considers the fault estimation and impulsive fault-tolerant control for networked control sys-tems (NCSs) with via integral-based event-triggered mechanism (IETM). According to a novel IETM, a fault and state estimation observer is established as a distributed delay model. To enhance the reliability and safety of actuator fault model, an impulsive fault tolerant controller is designed to compensate the impact of actuator faults and to estimate faults online. Moreover, based on augmented Lyapunov-Kroasovskii functional (LKF), sufficient conditions to determine the global asymptotical stability for the estimation error system are presented. Furthermore, this fault estimation method based on integral -based event-triggered scheme (IETS) is applied to the underwater vehicle heading control system. The designed fault-tolerant control approach solves the problem of the actuator failure of the nonlinear underwater vehicle heading control system. Finally, numerical examples are further provided to verify the effectiveness and advantages of the proposed approach. ? 2021 Elsevier B.V. All rights reserved.

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