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Motion Synchronization Control for a Large Civil Aircraft’s Hybrid Actuation System Using Fuzzy Logic-Based Control Techniques

Author

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  • Waheed Ur Rehman

    (Department of Mechatronics Engineering, University of Chakwal, Chakwal 48800, Pakistan
    Institute of Intelligent Machinery, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing 100124, China
    School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China)

  • Xingjian Wang

    (School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China)

  • Zeeshan Hameed

    (Faculty of Science and Technology, Free University of Bolzano, 39100 Bolzano, Italy)

  • Muhammad Yasir Gul

    (Department of Structural Engineering, MCE Risalpur, Risalpur 23200, Pakistan)

Abstract

The motion synchronization of the hybrid actuation system (composed of a servo-hydraulic actuator and an electro-mechanical actuator) is very important for all applications, especially for civil aircraft. The current research presents a nested-loop control design technique to synchronize motion between two different actuators, such as a servo-hydraulic actuator (SHA) and an electro-mechanical actuator (EMA). The proposed strategy consists of a trajectory, an intelligent position controller (fuzzy logic-based controller), a feed-forward controller, and an intelligent force controller (fuzzy logic-based controller). Position, speed, and acceleration signals are produced by trajectory at a frequency that both SHA and EMA can follow. The SHA/EMA system’s position tracking performance is enhanced by the feed-forward controller and intelligent position controller working together, while the intelligent force tracking controller lowers the issue of force fighting by focusing on the rigid coupling effect. To verify the effectiveness of the proposed strategy, simulations are performed in the Matlab/Simulink environment. The result shows that the proposed intelligent control strategy not only reduces initial force fighting, but also improves load-rejection performance and output-trajectory tracking performance.

Suggested Citation

  • Waheed Ur Rehman & Xingjian Wang & Zeeshan Hameed & Muhammad Yasir Gul, 2023. "Motion Synchronization Control for a Large Civil Aircraft’s Hybrid Actuation System Using Fuzzy Logic-Based Control Techniques," Mathematics, MDPI, vol. 11(7), pages 1-15, March.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:7:p:1576-:d:1106510
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    References listed on IDEAS

    as
    1. Xiangchen Liu & Yihan Wang & Minghai Wang, 2022. "Speed Fluctuation Suppression Strategy of Servo System with Flexible Load Based on Pole Assignment Fuzzy Adaptive PID," Mathematics, MDPI, vol. 10(21), pages 1-17, October.
    2. Xingjian Wang & Cun Shi & Shaoping Wang, 2017. "Extended state observer-based motion synchronisation control for hybrid actuation system of large civil aircraft," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(10), pages 2212-2222, July.
    3. Waheed Ur Rehman & Wakeel Khan & Nasim Ullah & M. D. Shahariar Chowdhury & Kuaanan Techato & Muhammad Haneef, 2021. "Nonlinear Control of Hydrostatic Thrust Bearing Using Multivariable Optimization," Mathematics, MDPI, vol. 9(8), pages 1-16, April.
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    Cited by:

    1. Grzegorz Filo, 2023. "A Review of Fuzzy Logic Method Development in Hydraulic and Pneumatic Systems," Energies, MDPI, vol. 16(22), pages 1-19, November.

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