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Volume 8 Issue 12
Dec.  2021

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2021  >  8(12): 1931-1947
Y. G. Yang, L. F. Liao, H. Yang, and S. Li, "An Optimal Control Strategy for Multi-UAVs Target Tracking and Cooperative Competition," IEEE/CAA J. Autom. Sinica, vol. 8, no. 12, pp. 1931-1947, Dec. 2021. doi: 10.1109/JAS.2020.1003012
Citation: Y. G. Yang, L. F. Liao, H. Yang, and S. Li, "An Optimal Control Strategy for Multi-UAVs Target Tracking and Cooperative Competition," IEEE/CAA J. Autom. Sinica, vol. 8, no. 12, pp. 1931-1947, Dec. 2021. doi: 10.1109/JAS.2020.1003012
shu

An Optimal Control Strategy for Multi-UAVs Target Tracking and Cooperative Competition

doi: 10.1109/JAS.2020.1003012
  • 1.

    Jiangxi University of Science and Technology, Ganzhou 341000, China

  • 2.

    College of Engineering, Swansea University, Swansea SA1 8EN, UK

Funds:  This work was supported by the National Natural Science Foundation of China (71462018, 71761018) and the Science and Technology Program of Education Department of Jiangxi Province in China (GJJ171503)
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    Abstract
  • An optimal control strategy of winner-take-all (WTA) model is proposed for target tracking and cooperative competition of multi-UAVs (unmanned aerial vehicles). In this model, firstly, based on the artificial potential field method, the artificial potential field function is improved and the fuzzy control decision is designed to realize the trajectory tracking of dynamic targets. Secondly, according to the finite-time convergence high-order differentiator, a double closed-loop UAV speed tracking the controller is designed to realize the speed control and tracking of the target tracking trajectory. Numerical simulation results show that the designed speed tracking controller has the advantages of fast tracking, high precision, strong stability and avoiding chattering. Finally, a cooperative competition scheme of multiple UAVs based on WTA is designed to find the minimum control energy from multiple UAVs and realize the optimal control strategy. Theoretical analysis and numerical simulation results show that the model has the fast convergence, high control accuracy, strong stability and good robustness.

     

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    Highlights

    • An optimal control strategy of WTA model is proposed for target tracking and cooperative competition of multi-UAVs.
    • A double closed-loop UAV speed tracking the controller is designed.
    • A trajectory tracking method of dynamic target is designed.

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