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Anti-disturbance reference mode resilient dynamic output feedback control for turbofan systems

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  • Li, Yankai
  • Chen, Mou
  • Li, Tao
  • Shi, Peng

Abstract

In this paper, the multiple disturbances reference mode tracking control problem is investigated for uncertain turbofan systems with unmeasurable states. The concerned disturbances are existing in the dynamics of turbofan systems, output measurement and control output. The control objective is described via a reference mode system, and a tracking controller is built for turbofan systems by using the reference mode control approach, disturbance observer-based-control (DOBC) scheme, resilient control technique, L2−L∞ control theory and dynamic output feedback control method. Then, the Lyapunov stability theory and linear matrix inequalities (LMIs) technique are applied to guarantee that the augmented closed-loop tracking error systems are asymptotically stable with the L2−L∞ performance. Finally, some simulation results for the uncertain turbofan systems are given to verify the effectiveness of the proposed method.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:apmaco:v:378:y:2020:i:c:s0096300320301521
    DOI: 10.1016/j.amc.2020.125183
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    References listed on IDEAS

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    1. Ruichao Li & Sing Kiong Nguang & Yingqing Guo & Yifeng Chen, 2018. "Networked Control System Design for Turbofan Aeroengines with Aging and Deterioration," Complexity, Hindawi, vol. 2018, pages 1-13, October.
    2. Liang, Kun & Dai, Mingcheng & Shen, Hao & Wang, Jing & Wang, Zhen & Chen, Bo, 2018. "L2−L∞ synchronization for singularly perturbed complex networks with semi-Markov jump topology," Applied Mathematics and Computation, Elsevier, vol. 321(C), pages 450-462.
    3. Chu, Xiaoan & Li, Muguo, 2019. "Observer-based model following sliding mode tracking control of discrete-time linear networked systems with two-channel event-triggered schemes and quantizations," Applied Mathematics and Computation, Elsevier, vol. 355(C), pages 428-448.
    4. Liu, Rui-Juan & Nie, Zhuo-Yun & Wu, Min & She, Jinhua, 2018. "Robust disturbance rejection for uncertain fractional-order systems," Applied Mathematics and Computation, Elsevier, vol. 322(C), pages 79-88.
    5. Yankai Li & Haibin Sun & Guangdeng Zong & Linlin Hou, 2017. "Anti-disturbance control for time-varying delay Markovian jump nonlinear systems with multiple disturbances," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(15), pages 3186-3200, November.
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    Cited by:

    1. Xu, Xiaofeng & Chen, Mou & Li, Tao & Wu, Qingxian, 2021. "Composite fault tolerant attitude control for flexible satellite system under disturbance and input delay," Applied Mathematics and Computation, Elsevier, vol. 409(C).
    2. Liu, Lijun & Chen, Mou & Li, Tao, 2022. "Disturbance observer-based robust coordination control for unmanned autonomous helicopter slung-load system via coupling analysis method," Applied Mathematics and Computation, Elsevier, vol. 427(C).
    3. 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).
    4. Gao, Yuxuan & Zhao, Ying & Liu, Yu & Pan, Zhuo-Rui & Wang, Rui, 2023. "Output tracking anti-disturbance control for turbofan systems," Applied Mathematics and Computation, Elsevier, vol. 456(C).

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