Abstract
This paper constructed a collaborative combat effectiveness evaluation system with considering the characteristics and limitations of the vehicles. Firstly, multiple hypersonic vehicles formation problem is converted to an optimization problem based on the collaborative combat effectiveness evaluation system. Secondly, the relative distance and angles between vehicle and a certain reference point is selected as the formation parameters, which are chosen as optimization variables in the optimization algorithm. Thirdly, the efficiency function corresponding to each evaluation indicator is given under the constraints of the vehicle and the PSACO (particle swarm ant colony optimization) algorithm is used to solving this optimization problem. In particular, the scenario of detection and the scenario of penetration are designed respectively considering different combat requirements. Finally, it can be verified that multiple hypersonic vehicles can achieve cooperative optimal formation in two combat scenarios through the effectiveness evaluation system and the PSACO algorithm according to simulation examples.
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Acknowledgment
This work was supported by the Science and Technology Innovation 2030-Key Project of “New Generation Artificial Intelligence” under Grant 2020AAA0108200, the National Natural Science Foundation of China under Grants 62103016,61922008, 62103023, 61973013, and 61873011, the Innovation Zone Project under Grant 18-163-00-TS-001-001-34, the National Defense Project under 201-CXCY-A01-08-00-01, the Foundation Strengthening Program Technology Field Fund under Grant 2019-JCJQ-JJ-243, the Defense Industrial Technology Development Program under Grant JCKY2019601C106, the Young Elite Scientists Sponsorship Program by CAST under Grant 2021QNRC001, China National Postdoctoral Program for Innovative Talents under Grant BX20200034, and the China Postdoctoral Science Foundation under Grant 2020M680297, the Young Elite Scientists Sponsorship Program by CAST under Grant 2021QNRC001.
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Zhang, Y., Yu, J., Dong, X., Li, Q., Ren, Z. (2023). Formation Optimization Method of Multiple Hypersonic Vehicles. 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_456
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DOI: https://doi.org/10.1007/978-981-19-6613-2_456
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