Adaptive Fault-Tolerant Control for a 2-Body Point Absorber Wave Energy Converter Against Actuator Faults: An Iterative Learning Control Approach

Nuo Xu, Yanzheng Zhu, Rongni Yang, Xinkai Chen, Chun Yi Su

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

In this paper, the design issue of adaptive fault-tolerant control (FTC) is investigated for a class of continuous-time 2-body point absorber wave energy converter (WEC) systems against actuator faults based on the iterative learning approach. The actuator faults considered in this paper contain both the lock-in-place and the loss of effectiveness faults, simultaneously. The WEC dynamic equations, including two moving parts (i.e., the float and the spar), are firstly transformed into a state-space model. Then, a group of novel iterative learning based adaptive multiple controllers are developed to decrease the tracking error between the measurement output and the desired output, and two novel adaptive laws are designed to cope with two types of actuator faults. Based on the theories mentioned above, a novel algorithm is provided to present the operation flows of both adaptive laws and iterative learning. Furthermore, a sufficient condition is obtained with the aid of proper Lyapunov function, such that the related closed-loop faulty-WEC system is asymptotically stable with a guaranteed $H_{\infty }$ performance index. Finally, an example with a set of physical parameters of a WEC dynamic model is worked out to verify the applicability and effectiveness of the proposed iterative learning based adaptive FTC strategy.

Original languageEnglish
Pages (from-to)1664-1675
Number of pages12
JournalIEEE Transactions on Sustainable Energy
Volume14
Issue number3
DOIs
Publication statusPublished - 2023 Jul 1

Keywords

  • Wave energy converter
  • actuator faults
  • adaptive control
  • fault-tolerant control
  • iterative learning control

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

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