Abstract
The manned/unmanned aerial vehicle (MAV/UAV) cooperative combat is a new type of air combat mode which has excellent potential for war application. It is highly valued by the military powers in the world. The study of critical technologies for MAV/UAV cooperative combat is vital for forming a new and efficient air combat system. This paper mainly studies the key technologies in three parts: application, architecture, and main process. Firstly, the application background and advantages are described in detail. Secondly, the architecture is analyzed, and the process and indicators that should be followed in the design of MAV/UAV are clarified. Finally, the main process is combed from three aspects of decision allocation, task allocation, and formation control, and the relationship between each part is summarized, and the future development direction is prospected.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gunning, D., Aha, D.: DARPA’s explainable artificial intelligence (XAI) program. AI Mag. 40(2), 44–58 (2019)
Udeanu, G., Dobrescu, A., Oltean, M.: Unmanned aerial vehicle in military operations. Sci. Res. Educ. Air Force 18(1), 199–206 (2016)
Work, R.O., Brimley, S.: Preparing for war in the robotic age. Center for a New American Security, Washington, DC, Technical report, p. p28 (2014)
Dandashi, F., DoD architecture framework overview. Briefing slides, ASD (NII) DoD CIO (2003)
Nunes, E., et al.: A taxonomy for task allocation problems with temporal and ordering constraints. Robot. Auton. Syst. 90, 55–70 (2017)
Schumacher, C., et al.: UAV task assignment with timing constraints via mixed-integer linear programming. In: AIAA 3rd “Unmanned Unlimited” Technical Conference, Workshop and Exhibit (2004)
Zhou, J., et al.: Task allocation for multi-agent systems based on distributed many-objective evolutionary algorithm and greedy algorithm. IEEE Access 8, 19306–19318 (2020)
Choi, H.-L., Brunet, L., How, J.P.: Consensus-based decentralized auctions for robust task allocation. IEEE Trans. Rob. 25(4), 912–926 (2009)
Zhiqiang, J., et al.: MAV/UAV task coalition phased-formation method. J. Syst. Eng. Electron. 30(2), 402–414 (2019)
Wang, G., et al.: A multi-agent model based on market competition for task allocation: a game theory approach. In: IEEE International Conference on Networking, Sensing and Control. IEEE (2004)
Parasuraman, R., Sheridan, T.B., Wickens, C.D.: A model for types and levels of human interaction with automation. IEEE Trans. Syst. Man Cybern.-Part A: Syst. Hum. 30(3), 286–297 (2000)
Xiao, H., Lingyu, Y., Jing, Z.: The design and analysis of hierarchical decision-making for manned/unmanned cooperative engagement. In: 2015 34th Chinese Control Conference (CCC). IEEE (2015)
Chen, J., et al.: Limited intervention collaborative decision-making of MAV/UAV team based on FCM. In: 2016 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). IEEE (2016)
Li, Y., Han, W., Wang, Y.: Deep reinforcement learning with application to air confrontation intelligent decision-making of manned/unmanned aerial vehicle cooperative system. IEEE Access 8, 67887–67898 (2020)
Oh, K.-K., Park, M.-C., Ahn, H.-S.: A survey of multi-agent formation control. Automatica 53, 424–440 (2015)
Wang, P., Hadaegh, F.Y.: Coordination and control of multiple microspacecraft moving in formation (1996)
Anderson, M., Robbins, A.: Formation flight as a cooperative game. In: Guidance, Navigation, and Control Conference and Exhibit (1998)
Dong, X., et al.: Time-varying formation control for unmanned aerial vehicles: theories and applications. IEEE Trans. Control Syst. Technol. 23(1), 340–348 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Wang, Y., Chen, H., Liu, Q., Huang, J. (2023). Key Technologies of the Cooperative Combat of Manned Aerial Vehicle and Unmanned Aerial Vehicle. 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_67
Download citation
DOI: https://doi.org/10.1007/978-981-19-6613-2_67
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-6612-5
Online ISBN: 978-981-19-6613-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)