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Multivariable sliding mode backstepping controller design for quadrotor UAV based on disturbance observer

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Abstract

This paper deals with the tracking control problem of quadrotor unmanned aerial vehicles (QUAVs) with external disturbances. First, because the QUAV model contains two non-integrity constraints, the dynamic model of the QUAV is decomposed into two subsystems which are independently controlled, so as to reduce controller design complexity. Secondly, the nonlinear disturbance observer (DOB) technique is integrated into a backstepping control method to design the controller for the first subsystem, in which a DOB is applied to estimate the lumped uncertainty. Based on the double power reaching law and the DOB, a multivariable sliding mode control (MSMC) scheme is developed for the second subsystem. Thirdly, based on Lyapunov theory, the closed-loop system is proved to be asymptotically stable. Finally, our comparative simulation results demonstrate that the presented control scheme behaves better in terms of tracking performance than the adaptive backstepping control (ABC) approach.

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Acknowledgements

This work was supported in part by National Natural Science Foundation of China (Grant Nos. 61503323, 61673294), Natural Science Foundation of Hebei Province (Grant Nos. F2017203130, A2016203341), the Foundation of Hebei Province Education Department (Grant No. QN2016076), and Postdoctoral Science Foundation of China (Grant No. 2015M571282). The authors would like to thank the editor and all anonymous reviewers for their comments, which helped to improve the quality of this paper.

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Authors and Affiliations

  1. School of Science, Yanshan University, Qinhuangdao, 066004, China

    Zheng Zhang, Fang Wang & Ying Guo

  2. School of Electric Engineering, Yanshan University, Qinhuangdao, 066004, China

    Changchun Hua

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  1. Zheng Zhang
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  2. Fang Wang
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  3. Ying Guo
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  4. Changchun Hua
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Correspondence to Fang Wang.

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Zhang, Z., Wang, F., Guo, Y. et al. Multivariable sliding mode backstepping controller design for quadrotor UAV based on disturbance observer. Sci. China Inf. Sci. 61, 112207 (2018). https://doi.org/10.1007/s11432-017-9434-7

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  • DOI: https://doi.org/10.1007/s11432-017-9434-7

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