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Fault Self-repairing Flight Control of a Small Helicopter via Fuzzy Feedforward and Quantum Control Techniques

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Abstract

In this paper, the longitudinal-lateral attitude control and fault self-repairing of a small helicopter is investigated using fuzzy feedforward and quantum control techniques. The Lagrange-Euler equation is used to derive a mathematical model of the helicopter flight dynamics. To handle the complex faults of the helicopter flight system, a model reference-based self-repairing control law is proposed using quantum control techniques, which can improve the helicopter’s self-repairing and control precision. In addition, a fuzzy feedforward compensation controller is designed to improve the anti-disturbance performance. Finally, simulation results are given to illustrate the effectiveness of the developed intelligent self-repairing controller.

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Acknowledgments

The project was supported by National Natural Science Foundation of China (61074080) and Innovation Foundation for Aeronautical Science and Technology (08C52001).

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Authors and Affiliations

  1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

    Fuyang Chen & Bin Jiang

  2. Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, 22903, USA

    Gang Tao

Authors
  1. Fuyang Chen
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  2. Bin Jiang
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  3. Gang Tao
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Correspondence to Fuyang Chen.

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Chen, F., Jiang, B. & Tao, G. Fault Self-repairing Flight Control of a Small Helicopter via Fuzzy Feedforward and Quantum Control Techniques. Cogn Comput 4, 543–548 (2012). https://doi.org/10.1007/s12559-012-9143-6

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  • DOI: https://doi.org/10.1007/s12559-012-9143-6

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