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An improved nonlinear model for a helicopter and its self-repairing control with multiple faults via quantum information technique

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  • Control Theory
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Abstract

In this paper, an improved nonlinear model for a 3-DOF helicopter and its self-repairing control scheme are investigated via quantum information technique. Firstly, adopting the mechanism analysis, a modified dynamic model is developed, in which the couplings among axes are considered. Such a modeling scheme is useful for applications when the accuracy of original model can not be satisfied. Then, a reconfigurable control scheme is designed for the twin rotor helicopter with multiple faults and parametric uncertainties, which combines active disturbance rejection control method with model reference adaptive control method. In addition, quantum information technique is used to increase the accuracy of self-repairing control of helicopter. Finally, simulation verification is presented in both aspects of modeling and control. The effectiveness and feasibility of the proposed scheme are verified by comparative simulations.

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Authors and Affiliations

  1. College of Automation Engineering, Nan**g University of Aeronautics and Astronautics, Nan**g, 210016, P. R. China

    Fuyang Chen, Zheng Wang & Bin Jiang

  2. Jiangsu Key Laboratory of Internet of Things and Control Technologies, Nan**g University of Aeronautics and Astronautics, Nan**g, P. R. China

    Fuyang Chen, Zheng Wang & Bin Jiang

  3. School of Electrical & Electronic Engineering, Nanyang Technological University, Nanyang Avenue, 639798, Singapore

    Changyun Wen

Authors
  1. Fuyang Chen
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  2. Zheng Wang
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  3. Bin Jiang
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  4. Changyun Wen
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Corresponding author

Correspondence to Fuyang Chen.

Additional information

Fuyang Chen received his Ph.D. degree in Automation Engineering from Nan**g University of Aeronautics and Astronautics (NUAA) in 2013. Now he is a professor at NUAA. His research interests include adaptive control, flight control, quantum control and selfrepairing control.

Zheng Wang received her B.E. degree in Aircraft Designing and Engineering from Nan**g University of Aeronautics and Astronautics in 2012. Now she is a master student at the Department of Automation, NUAA. Her research interests include aircraft modeling, adaptive control, failure detection and fault-tolerant control.

Bin Jiang received his Ph.D. degree in Automation Engineering from Northeastern University in 1995. He is currently a professor at Nan**g University of Aeronautics and Astronautics. His research interests include fault diagnosis and fault tolerance control.

Changyun Wen received his Ph.D. degree from University of Newcastle, Australia in 1990. Now he is a professor at Nanyang Technological University. His research interests include adaptive control, intelligent power management system, modeling and control of switching and impulsive systems.

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Chen, F., Wang, Z., Jiang, B. et al. An improved nonlinear model for a helicopter and its self-repairing control with multiple faults via quantum information technique. Int. J. Control Autom. Syst. 13, 557–566 (2015). https://doi.org/10.1007/s12555-013-0452-7

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  • DOI: https://doi.org/10.1007/s12555-013-0452-7

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