Multi-UAV coordinated track planning method based on MSISOS algorithm

Meng-yun S. Liu; Ji-yang Dai; Jin Ying; Liang-liang Lu; Guang-jian Tian; Qi Tang

doi:10.1117/12.2655678

7 October 2022 Multi-UAV coordinated track planning method based on MSISOS algorithm

Meng-yun S. Liu, Ji-yang Dai, Jin Ying, Liang-liang Lu, Guang-jian Tian, Qi Tang

Proceedings Volume 12344, International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022); 123441B (2022) https://doi.org/10.1117/12.2655678
Event: International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022), 2022, Zhuhai, China

Abstract

In order to solve the problem of multi-UAV coordinated track planning in complex battlefield environment, this paper proposes a track planning method based on Multi-Strategy Improvement Symbiotic Organisms Search (MSISOS). Firstly, UAV track planning model is established. Then, the adaptive strategy is adopted in mutualism and commensalism phase, to balance the algorithm’s development and exploration, and the introduction of normal disturbance strategy in parasitism phase effectively avoids precocity. Finally, a distributed multi-UAV collaborative trajectory planning method is designed, which uses MSISOS algorithm to solve track planning problem, and harmonizes time and space constraints through the multi-UAV information interaction layer. The simulation results show that MSISOS algorithm compared with MSASOS, PSO and DE algorithms has the best accuracy and convergence speed, and solves complex multi-dimensional multi-UAV coordinated track planning issues.

Citation Download Citation

Meng-yun S. Liu, Ji-yang Dai, Jin Ying, Liang-liang Lu, Guang-jian Tian, and Qi Tang "Multi-UAV coordinated track planning method based on MSISOS algorithm", Proc. SPIE 12344, International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022), 123441B (7 October 2022); https://doi.org/10.1117/12.2655678

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