Resilient H∞ control for uncertain turbofan linear switched systems with hybrid switching mechanism and disturbance observer

Fan Liu, Mou Chen and Tao Li

Applied Mathematics and Computation, 2022, vol. 413, issue C

Abstract: In this paper, a composite resilient anti-disturbance H∞ control scheme is presented for the turbofan linear switched systems with uncertainties and external disturbances via the disturbance observer-based control (DOBC) approach. Since the single-point linearization model cannot be used to accurately describe the engine characteristics of the whole envelope, the multi-model switching method is adopted to preferably describe the working characteristics of the turbofan. A hybrid switching scheme based on state-dependent switching and minimum dwell time constraint is developed to ensure the stability of closed-loop systems and satisfy the dwell-time requirement of turbofan systems. Then, a robust resilient controller is built by combining the DOBC approach and resilient control technique. Based on the multiple Lyapunov functions method, some easy-to-test results are given to guarantee that the closed-loop switched systems are asymptotically stable with H∞ property. Finally, the effectiveness of the proposed method is verified through some simulations and comparisons.

Keywords: Uncertain turbofan linear switched systems; Resilient control; Disturbance observer-based control; Dwell time (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:413:y:2022:i:c:s0096300321006810

DOI: 10.1016/j.amc.2021.126597

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