Affiliation:
1. College of Engineering, Qufu Normal University, Rizhao, China
2. College of Information Science and Engineering, Northeastern University, Shenyang, China
Abstract
This article discusses the issue of H∞ fault-tolerant control for switched linear parameter-varying systems with actuator failures using the multiple discretized parameter-dependent Lyapunov functions method. A key point of this work is to construct the multiple discretized parameter-dependent Lyapunov functions, which provide an effective tool for avoiding the Zeno behavior generated by the parameter and state-dependent switching approach. This is not a simple extension of traditional multiple Lyapunov functions because of the introduction of external parameter and dwell time. First, a switching strategy depending on the parameter, state and dwell time is proposed, which gets rid of the assumption of finite number of switchings on any finite time. Then, the parameter-dependent controller is designed which, together with the parameter and state-dependent switching law with dwell time, can guarantee the [Formula: see text] performance of the closed-loop switched linear parameter-varying system for all admissible actuator failures. Finally, a turbofan engine example is given to demonstrate the applicability of the main results.
Funder
National Natural Science Foundation of China
Subject
Mechanical Engineering,Control and Systems Engineering
Cited by
7 articles.
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1. H∞ control of switched Lurie systems with dwell time;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2024-02-18
2. Nonlinear robust fault-tolerant control for turbofan engines with actuator faults;Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering;2022-07-21
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5. Robust sampled-data control for direct current to direct current converters via switched affine description and error tracking strategy;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2021-05-12