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A dynamic target tracking framework of UGV for UAV recovery under random disturbances
Article publication date: 19 July 2024
Issue publication date: 13 September 2024
Abstract
Purpose
Dynamically tracking the target by unmanned ground vehicles (UGVs) plays a critical role in mobile drone recovery. This study aims to solve this challenge under diverse random disturbances, proposing a dynamic target tracking framework for UGVs based on target state estimation, trajectory prediction, and UGV control.
Design/methodology/approach
To mitigate the adverse effects of noise contamination in target detection, the authors use the extended Kalman filter (EKF) to improve the accuracy of locating unmanned aerial vehicles (UAVs). Furthermore, a robust motion prediction algorithm based on polynomial fitting is developed to reduce the impact of trajectory jitter caused by crosswinds, enhancing the stability of drone trajectory prediction. Regarding UGV control, a dynamic vehicle model featuring independent front and rear wheel steering is derived. Additionally, a linear time-varying model predictive control algorithm is proposed to minimize tracking errors for the UGV.
Findings
To validate the feasibility of the framework, the algorithms were deployed on the designed UGV. Experimental results demonstrate the effectiveness of the proposed dynamic tracking algorithm of UGV under random disturbances.
Originality/value
This paper proposes a tracking framework of UGV based on target state estimation, trajectory prediction and UGV predictive control, enabling the system to achieve dynamic tracking to the UAV under multiple disturbance conditions.
Keywords
Acknowledgements
This work is supported by National Natural Science Foundation of China under Grant no. 61773060.
Citation
Li, B.,Wang, S.,Si, J.,Xu, Y.,Wang, L.,Deng, C.,Wang, J. andLiu, Z. (2024), "A dynamic target tracking framework of UGV for UAV recovery under random disturbances",Industrial Robot, Vol. 51 No. 5, pp. 729-746.https://doi.org/10.1108/IR-01-2024-0004
Publisher
:Emerald Publishing Limited
Copyright© 2024, Emerald Publishing Limited