Abstract
The cooperative search strategy is designed with the distributed model predictive method in this paper. For the rationality of decision-making of UAV swarm in different stages of the cooperative search, a dynamic parameter selection method based on the expert system is proposed. The weight of the objective function is adjusted online through the expert system so that the result of the search decision is more in line with the task requirements. Besides, a jump grid method is proposed for grid selection in cooperative search so that the UAV can select non-adjacent grids as the search point for the next time. The UAV's search frequency and trajectory maneuverability can be changed by adjusting the number of jump grids through the expert system. The simulation shows that the UAV with the expert system can dynamically adjust the search interval and search requirements, making the UAV swarm able to quickly discover targets, explore unknown areas, ensure collision avoidance, and meet the boundary constraints.
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References
Nigam, N., Bieniawski, S., Kroo, I., et al.: Control of multiple UAVs for persistent surveillance: Algorithm and flight test results. IEEE Trans. Control Syst. Technol. 20(5), 1236–1251 (2012)
Zhen, Z.Y., Zhu, P., Xue, Y.X., et al.: Distributed intelligent self-organized mission planning of multi-UAV for dynamic targets cooperative search-attack. Chin. J. Aeronaut. 32(12), 2706–2716 (2019)
Hu, J., Xie, L., Lum, K.Y., et al.: Multi agent information fusion and cooperative control in target search. IEEE Trans. Control Syst. Technol. 21(4), 1223–1235 (2013)
Dai, J., Xu, F., Chen, Q.F.: Multi UAV cooperative search on region division and path planning. Acta Aeronautica Astronautica Sinica 41(SI), 723–770 (2020) (in Chinese)
Zhang, F., Tang, Y.U.C., et al.: Fair transmission rate adjustment in cooperative vehicle safety systems based on multi agent model predictive control. IEEE Trans. Vehicular Technol. 66(7), 6115–6129 (2017)
Guo, Z., Wei, Z., Feng, Z., et al.: Coverage probability of multiple UAVs supported ground network. Electron. Lett. 53(13), 885–887 (2017)
Koller, D., Friedman, N.: Probabilistic Graphical Models, Principles and Techniques. MIT Press, Cambridge (2009)
Peng, H., Shen, L.C., Zhu, H.Y.: Multiple UAV cooperÂat1ve area search based on distributed model pred1ct1ve control. Acta Aeronautica Astronautica Sinica 31(3), 593–601 (2010) (in Chinese)
Zhang, Z.X., Long, T., Xu, G.T., et al.: Revisit mechanism driven multi-UAV cooperative search planning method tor moving targets. Acta Aeronautica Astronautica Sinica 41(5), 314–323 (2020). (in Chinese)
Qi, X.M., Wei, R.X., Shen, D., et al.: Distribute cooperative search method of multi-UAV based on prediction of move targets. Syst. Eng. Electron. 36(12), 2417–2425 (2014)
Fu, L., Xie, F.H., Meng, G.L., et al.: An UAV air-combat decision expert system based on receding horizon control. J. Beijing Univ. Aeronaut. Astronaut. 41(11), 1994–1999 (2015) (in Chinese)
Harabor, D., Grastien, A.: Online graph pruning for path finding on grid maps. In: 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference, pp. 1114–1119. AAAI, Menlo Park, USA (2011)
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Liu, Z., Hao, M., Wei, D., Liu, Y., Zhao, H. (2023). Parameter Dynamic Selection Method of Multi-UAV Cooperative Search Based on Expert System. In: Yan, L., Duan, H., Deng, Y. (eds) Advances in Guidance, Navigation and Control. ICGNC 2022. Lecture Notes in Electrical Engineering, vol 845. Springer, Singapore. https://doi.org/10.1007/978-981-19-6613-2_327
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DOI: https://doi.org/10.1007/978-981-19-6613-2_327
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