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Cascade ADRC Based Fault-Tolerant Control for a Hovering PVTOL Aircraft

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Robotics and Mechatronics (ISRM 2017)

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 72))

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Abstract

This paper presents a novel reconfigurable control method for the planar vertical take-off and landing (PVTOL) aircraft with potential actuator failures. According to the position subsystem within the multivariable coupling, and the series between subsystems of position and attitude, a cascade active disturbance rejection controller (ADRC) is used to counteract the adverse effects when the actuator failure occurs. The coordinate transformation is used for model decoupling due to the severe coupling between some variables. This approach does not require the accurate mathematical model of the controlled system and ensures that the reference input value can be tracked rapidly and accurately. In addition, the Taylor differentiator is designed to improve the control precision based on the detailed research for tracking differentiator. The stability and safety of the aircraft is much improved in the event of actuator failures. Finally, the simulation results are given to show the effectiveness and performance of the developed method.

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References

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Author information

Authors and Affiliations

  1. School of Civil Engineering, Qingdao University of Technology, Qingdao, 266033, China

    Xinli Xu & Chunwei Zhang

Authors
  1. Xinli Xu
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  2. Chunwei Zhang
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Corresponding author

Correspondence to Chunwei Zhang .

Editor information

Editors and Affiliations

  1. Western Sydney University, Penrith, NSW, Australia

    Richard (Chunhui) Yang

  2. Department of Mechanical Engineering, Tokyo Institute of Technology, Tokyo, Japan

    Yukio Takeda

  3. Qingdao University of Technology, Qingdao, China

    Chunwei Zhang

  4. Western Sydney University, Penrith, NSW, Australia

    Gu Fang

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Xu, X., Zhang, C. (2019). Cascade ADRC Based Fault-Tolerant Control for a Hovering PVTOL Aircraft. In: (Chunhui) Yang, R., Takeda, Y., Zhang, C., Fang, G. (eds) Robotics and Mechatronics. ISRM 2017. Mechanisms and Machine Science, vol 72. Springer, Cham. https://doi.org/10.1007/978-3-030-17677-8_19

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  • DOI: https://doi.org/10.1007/978-3-030-17677-8_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-17676-1

  • Online ISBN: 978-3-030-17677-8

  • eBook Packages: EngineeringEngineering (R0)

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