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Anti-disturbance control of a quadrotor manipulator with tiltable rotors based on integral sliding mode control

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Abstract

Unmanned aerial vehicle (UAV) manipulator is a promising platform for physical interaction with environments. However, wind disturbances introduce a great challenge to the control of the UAV manipulator and degrade the flight performance of the vehicle. In this paper, an over-actuated quadrotor manipulator with tiltable rotors is proposed to utilize its end-effector to follow a prescribed trajectory in the presence of wind disturbances while transporting objects. Wind forces generated by wind disturbances are imposed on the channel of input of the dynamic equations of the proposed quadrotor manipulator. In a practical case, the bound of wind forces is known. Since integral sliding mode control retains robustness from the initial state in the presence of bounded disturbances and unmodeled uncertainties, a model-based integral sliding mode is designed to assure asymptotical convergence based on the Lyapunov stability analysis. In the process of transporting an object, it is a common task for the end-effector of the quadrotor manipulator system to follow a prescribed 6-DOF trajectory, which may come from a customer’s demand or result obtained from path planning with surrounding environment constraints taken into consideration. A simulation with the Dryden model to represent wind disturbances verifies that the proposed integral sliding mode controller can suppress wind disturbances and enhance the flight performance of the quadrotor manipulator.

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References

  1. Ruggiero F, Lippiello V, Ollero A (2018) Aerial manipulation: a literature review. IEEE Robot Autom Lett 3(3):1957–1964

    Article  Google Scholar 

  2. Kuchwa-Dube C, Pedro O (2019) Quadrotor-based aerial manipulator altitude and attitude tracking using adaptive super-twisting sliding mode control. In: Proc. of 2019 international conference on unmanned aircraft systems (ICUAS), Atlanta, GA, USA, June 11–14, 2019, pp 144–151

  3. Willmann J, Augugliaro F, Cadalbert T et al (2012) Aerial robotic construction towards a new field of architectural research. Int J Archit Comput 10(3):439–459

    Google Scholar 

  4. Mohiuddin A, Tarek T, Zweiri Y et al (2020) A survey of single and multi-UAV aerial manipulation. Unmanned Syst 8(2):119–147

    Article  Google Scholar 

  5. Kim S, Choi S and Kim H (2013) Aerial manipulation using a quadrotor with a two DOF robotic arm. In: Proc. of IEEE/RSJ international conference on intelligent robots and systems (IROS), Tokyo, Japan, November 3–7, 2013, pp 4990–4995

  6. Ryll M, Bülthoff H, Giordano P et al (2014) A novel overactuated quadrotor unmanned aerial vehicle: modeling, control, and experimental validation. IEEE Trans Control Syst Technol 23(23):540–556

    Google Scholar 

  7. Ryll M, Bicego H, Giurato M et al (2021) FAST-Hex—a morphing hexarotor: design, mechanical implementation, control and experimental validation. IEEE/ASME Trans Mechatron. https://doi.org/10.1109/TMECH.2021.3099197

    Article  Google Scholar 

  8. Rajappa S, Ryll M, Bülthoff H et al (2015) Modeling, control and design optimization for a fully-actuated hexarotor aerial vehicle with tilted propellers. In: Proc. of 2015 IEEE international conference on robotics and automation (ICRA), Seattle, WA, May 26-30, 2015, pp 4006–4013

  9. Kamel M, Verling S, Elkhatib O et al (2018) The voliro omniorientational hexacopter: an agile and maneuverable tiltable-rotor aerial vehicle. IEEE Robot Autom Mag 25(4):34–44

    Article  Google Scholar 

  10. Ryll M, Muscio G, Pierri F et al (2017) 6D physical interaction with a fully actuated aerial robot. In: Proc. of 2017 IEEE international conference on robotics and automation (ICRA), Singapore, May, 2017, pp 5190–5195

  11. Sanchez-Cuevas PJ, Gonzalez-Morgado A, Cortes N et al (2020) Fully-actuated aerial manipulator for infrastructure contact inspection: design, modeling, localization, and control. Sensors 20(17):4708. https://doi.org/10.3390/s20174708

    Article  Google Scholar 

  12. Waslander S, Wang C (2009) Wind disturbance estimation and rejection for quadrotor position control. In: Proc. of AIAA Infotech@ Aerospace conference, Seattle, WA, April 6-9, 2009, pp 1–14

  13. Abichandani P, Lobo D, Ford G et al (2020) Wind measurement and simulation techniques in multi-rotor small unmanned aerial vehicles. IEEE Access 8:54910–54927

    Article  Google Scholar 

  14. Heredia G, Jimenez-Cano A, Sanchez I et al (2014) Control of a multirotor outdoor aerial manipulator. In: Proc. of IEEE/RSJ international conference on intelligent robots and systems, Chicago, IL, USA, September 14–18, 2014, pp 3417–3422

  15. Khalifa A, Fanni M, Ramadan A et al (2012) Modeling and control of a new quadrotor manipulation system. In: Proc. of first international conference on innovative engineering systems, 2012, pp 109–114

  16. Shtessel Y, Edwards C, Fridman L et al (2014) Sliding mode control and observation. Springer, New York, pp 89–99

    Book  Google Scholar 

  17. Yi S, Watanabe K, Nagai I (2020) Modeling and control of a fully-actuated quadrotor manipulator with tiltable rotors. In: Proc. of 2020 IEEE recent advances in intelligent computational systems (RAICS), Thiruvananthapuram, India, December 3–5, 2020, pp 159–164

  18. Buss S (2004) Introduction to inverse kinematics with Jacobian transpose, pseudoinverse and damped least squares methods. Technical report, Dept. Math. Univ. of California, San Diego, CA, USA

  19. Hertig J (1993) Analysis of meteorological data and main problems related to the determination of building exposure. In: Proceedings of the NATO Advanced Study Institute on Wind climate in cities, Waldbronn, Germany, July 5–16, 1993, pp 153–182

  20. Hakim K, Arifianto O (2018) Implementation of Dryden continuous turbulence model into simulink for lSA-02 flight test simulation. J Phys Conf Ser 1005:012017. https://doi.org/10.1088/1742-6596/1005/1/012017

  21. Beal T (1993) Digital simulation of atmospheric turbulence for Dryden and von Karman models. J Guid Control Dyn 16(1):132–138

    Article  Google Scholar 

  22. Department of Defense, USA (1980) Military specification flying qualities of piloted airplanes, MIL-F-8785C. Department of Defense, USA

  23. Tran N, Bulka E, Nahon M (2015) Quadrotor control in a wind field. In: Proc. of 2015 international conference on unmanned aircraft systems (ICUAS), Denver, Colorado, USA, June 9–12, 2015, pp 320–328

  24. Viktor V, Valery I, Yuri A et al (2015) Simulation of wind effect on a quadrotor flight. ARPN J Eng Appl Sci 10(4):1535–1538

    Google Scholar 

  25. Rubagotti M, Estrada A, Castanos F et al (2011) Integral sliding mode control for nonlinear systems with matched and unmatched perturbations. IEEE Trans Autom Control 56(11):2699–2704

    Article  MathSciNet  Google Scholar 

  26. Bhavsar P, Kumar V (2012) Trajectory tracking of linear inverted pendulum using integral sliding mode control. Int J Intell Syst Appl 4(6):31–38

    Google Scholar 

  27. Cao W, Xu J (2004) Nonlinear integral-type sliding surface for both matched and unmatched uncertain systems. IEEE Trans Autom Control 49(8):1355–1360

    Article  MathSciNet  Google Scholar 

  28. Jaulin L (2019) Mobile robotics. Wiley, pp 65–71

    Book  Google Scholar 

  29. Dam E, Koch M, Lillholm M (1998) Quaternions, interpolation and animation. Technical Report DIKU-TR-98/5, Department of Computer Science University of Copenhagen, Denmark

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Authors and Affiliations

  1. Graduate School of Natural Science and Technology, Okayama University, Okayama, 700-8530, Japan

    Shilin Yi, Keigo Watanabe & Isaku Nagai

  2. BAICIRS, Beijing Institute of Technology (BIT), Beijing, China

    Keigo Watanabe

Authors
  1. Shilin Yi
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  2. Keigo Watanabe
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  3. Isaku Nagai
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Correspondence to Shilin Yi.

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This work was presented in part at the 26th International Symposium on Artificial Life and Robotics (Online, January 21–23, 2021).

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Yi, S., Watanabe, K. & Nagai, I. Anti-disturbance control of a quadrotor manipulator with tiltable rotors based on integral sliding mode control. Artif Life Robotics 26, 513–522 (2021). https://doi.org/10.1007/s10015-021-00700-3

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