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

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  • Liu, Fan
  • Chen, Mou
  • Li, Tao

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.

Suggested Citation

  • Liu, Fan & Chen, Mou & Li, Tao, 2022. "Resilient H∞ control for uncertain turbofan linear switched systems with hybrid switching mechanism and disturbance observer," Applied Mathematics and Computation, Elsevier, vol. 413(C).
    • Handle: RePEc:eee:apmaco:v:413:y:2022:i:c:s0096300321006810
    DOI: 10.1016/j.amc.2021.126597
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    References listed on IDEAS

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    1. Huang, Zhengguo & Xia, Jianwei & Wang, Jing & Wei, Yunliang & Wang, Zhen & Wang, Jian, 2019. "Mixed H∞/l2−l∞ state estimation for switched genetic regulatory networks subject to packet dropouts: A persistent dwell-time switching mechanism," Applied Mathematics and Computation, Elsevier, vol. 355(C), pages 198-212.
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    3. Muxuan Pan & Hao Wang & Jinquan Huang, 2019. "T–S Fuzzy Modeling for Aircraft Engines: The Clustering and Identification Approach," Energies, MDPI, vol. 12(17), pages 1-15, August.
    4. Li, Yankai & Chen, Mou & Li, Tao & Shi, Peng, 2020. "Anti-disturbance reference mode resilient dynamic output feedback control for turbofan systems," Applied Mathematics and Computation, Elsevier, vol. 378(C).
    5. Wei Qian & Yujie Li & Yonggang Chen & Wei Liu, 2020. "L2-L∞ filtering for stochastic delayed systems with randomly occurring nonlinearities and sensor saturation," International Journal of Systems Science, Taylor & Francis Journals, vol. 51(13), pages 2360-2377, October.
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