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Output tracking anti-disturbance control for turbofan systems

Author

Listed:
  • Gao, Yuxuan
  • Zhao, Ying
  • Liu, Yu
  • Pan, Zhuo-Rui
  • Wang, Rui

Abstract

A new output tracking (OT) control strategy is established for the turbofan systems involved by multiple disturbances, the measurable disturbance and unmeasurable disturbance. The control aim is to improve the OT performance, while restraining the effect of the multiple disturbances on the turbofan systems. First, an observer is formed to estimate the unmeasurable modeled disturbance. Next, a controller depending on the observer is built to capture the OT performance and the multiple disturbance restrain performance. The designed controller not only combines the disturbance estimation and the output error, but also takes advantage of the available signal to be tracked. By such a controller, the OT performance is enhanced. In the end, the developed OT anti-disturbance control scheme is performed on a hardware-in-loop simulation platform inserted with the turbofan system model to improve the OT performance of the turbofan system.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:apmaco:v:456:y:2023:i:c:s0096300323003089
    DOI: 10.1016/j.amc.2023.128139
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    References listed on IDEAS

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    1. Zhang, Anguo & Li, Lulu & Li, Yuanyuan & Lu, Jianquan, 2021. "Finite-time output tracking of probabilistic Boolean control networks," Applied Mathematics and Computation, Elsevier, vol. 411(C).
    2. Zhang, Ziwei & Chen, Zongjie & Sheng, Zhang & Li, Dan & Wang, Jing, 2022. "Static output feedback secure synchronization control for Markov jump neural networks under hybrid cyber-attacks," Applied Mathematics and Computation, Elsevier, vol. 430(C).
    3. 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.
    4. Zhang, Xiaoli & Yi, Yang & Shen, Mouquan & Wang, Qin, 2022. "Event-triggered anti-disturbance tracking control for semi-Markovian jump systems with exogenous disturbances and input saturation," Applied Mathematics and Computation, Elsevier, vol. 424(C).
    5. 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).
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    Cited by:

    1. Tang, Li & Liu, Wei & Liu, Yan-Jun, 2024. "Dual design of control law and switching law for turbofan systems under multiple disturbances," Energy, Elsevier, vol. 296(C).

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