4.8 Article

Adaptive Fuzzy Event-Triggered Control of Aerial Refueling Hose System With Actuator Failures

Journal

IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 30, Issue 8, Pages 2981-2992

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2021.3098733

Keywords

Actuators; Hoses; Adaptive systems; Adaptation models; Fuzzy logic; Vibrations; Mathematical model; Actuator faults; adaptive fuzzy control; event-triggered control; flexible hose; fuzzy logic system (FLS)

Funding

  1. National Natural Science Foundation of China [62073030, 62061160371, 61803109]
  2. Guangdong Basic and Applied Basic Research Foundation [2019A1515110728]
  3. Postdoctoral Research Foundation of Shunde Graduate School, University of Science and Technology Beijing [2020BH002]
  4. Science and Technology Planning Project of Guangzhou City [202102010398]
  5. Scientific Research Projects of Guangzhou Education Bureau [202032793]
  6. City University of Hong Kong [7005092]

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In this study, an adaptive fuzzy event-triggered control scheme is proposed for an autonomous aerial refueling hose system with uncertainty, event-triggering mechanism, and actuator failures. The unknown nonlinear function is approximated using designed fuzzy logic systems, and the problem of infinite number of actuator failures is solved through an adaptive compensation scheme. Additionally, an event-triggered control strategy is designed for vibration suppression and reducing communication burden. The stability of the closed-loop system is demonstrated using the Lyapunov direct method. Simulation examples are provided to validate the proposed control scheme.
In this study, we propose an adaptive fuzzy event-triggered control scheme for an autonomous aerial refueling hose system involving uncertainty, an event-triggered mechanism, and actuator failures. The unknown nonlinear function is approximated using the designed fuzzy logic systems. Through introduction of the adaptive compensation scheme, the problem of an infinite number of actuator failures, including partial and complete failures, is solved. In addition, the event-triggered control strategy is designed to achieve vibration suppression while decreasing the communication burden between the controllers and actuators. The stability of the closed-loop system is demonstrated via the Lyapunov direct method. Finally, simulation examples are presented to confirm the validity of the proposed control scheme.

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