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Grey Wolf Optimization-Based Active Disturbance Rejection Controller Design for a Hybrid Autogyro

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Advances in Guidance, Navigation and Control

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 644))

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Abstract

As one of the most popular controller designer approaches to nonlinear systems, the active disturbance rejection control (ADRC) scheme has a better control ability than the traditional PID controller. This paper studies the ADRC controller design for a hybrid autogyro which is made up of a Super-G unmanned aerial vehicle (UAV) and a pair of wings of the conventional fixed-wing UAV. Then the ADRC controller is designed and optimized through the grey wolf optimization (GWO) algorithm. To compare the GWO-based ADRC controller and the GWO-based PID controller, the PID controller is designed which is then optimized through the GWO algorithm. The final numerical simulations show the fastness and anti-jamming of the GWO-based ADRC controller.

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References

  1. Hou, J., et al.: Fuzzy and PSO-based PID controller for a hybrid autogyro altitude control. In: 2016 Asian Control Conference (ASCC) (2016)

    Google Scholar 

  2. Townson, G.: Autogiro-The Story of “The Windmill Plane”. Aero Publishers, Inc., Fallbrook (1985)

    Google Scholar 

  3. Liu, N., et al.: Control and Flight Testing of a Miniature Compound Autogyro (2017)

    Google Scholar 

  4. Housston, S.S.: Validation of a rotorcraft mathematical model for antogyro simulation[J]. J. Aircraft 37(3), 403–409 (2000)

    Article  Google Scholar 

  5. Thomson, D.G., Houston, S.S.: Aplication of parameter estimation to improved autogyro simulation model fidelity[J]. J. Aircraft 42(1), 33–40 (2005)

    Article  Google Scholar 

  6. Hou, J., et al.: GWO-based gain-scheduling controller design for a Tilt-rotor UAV’s Longitudinal Control. In: 2018 CGNCC (2018)

    Google Scholar 

  7. Etkin, B., Teichmann, T.: Dynamics of Flight: Stability and Control, pp. 839–840. Wiley (1982)

    Google Scholar 

  8. Sato, M., Muraoka, K.: Flight controller design and demonstration of quad-tilt-wing unmanned aerial vehicle[J]. J. Guid. Control Dyn. 38(6), 1071–1082 (2015)

    Article  Google Scholar 

  9. Mirjalili, S., Mirjalili, S.M., Lewis, A.: Grey wolf optimizer. Adv. Eng. Softw. 69(3), 46–61 (2014)

    Article  Google Scholar 

  10. Han, J.: From PID to active disturbance rejection control. IEEE Trans. Ind. Electron. 56, 900–906 (2009)

    Article  Google Scholar 

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Correspondence to Jiajia Hou .

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Hou, J., Liu, X., Chen, M., Zhang, P., Xiao, W., Lin, M. (2022). Grey Wolf Optimization-Based Active Disturbance Rejection Controller Design for a Hybrid Autogyro. In: Yan, L., Duan, H., Yu, X. (eds) Advances in Guidance, Navigation and Control . Lecture Notes in Electrical Engineering, vol 644. Springer, Singapore. https://doi.org/10.1007/978-981-15-8155-7_187

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