Abstract
This paper proposes a task assignment based on auction algorithm for a decoy mission using multiple UAVs which can hover against anti-ship missiles. An optimal deployment direction of decoys are also decided based on the cost function that is calculated with the expected signal power of a seeker and decoy, the distance between them, and fuel availability of the decoys. A simple kinematics is considered to generate two-dimensional motions of anti-ship missiles and a target ship. Numerical simulations are conducted under a visualization environment and validate the performance of the proposed algorithm. A parametric study is also conducted for the decoy mission with multiple missiles and decoys. Lastly, non-linear simulations for ducted fan Unmanned Aerial vehicles (UAVs) are performed to evaluate the feasibility of the proposed high-level task assignment comment for the decoy mission.
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Recommended by Associate Editor Son-Cheol Yu under the direction of Editor Chan Gook Park. This research was supported by a grant to Bio-Mimetic Robot Research Center Funded by Defense Acquisition Program Administration, and by Agency for Defense Development (UD130070ID).
Dileep M V received his B.Tech. degree in electronics and communication engineering from University of Kerala, Kerala, India in 2010, an M.Tech. degree technology in astronomy and space engineering from Manipal university, Karnataka, India in 2012. He obtained a Ph.D. degree in Optimization and control, Manipal Institute of Technology, Manipal University, Karnataka, India in 2017 and now working as a Post-doc researcher, Department of Aerospace Engineering, Chungnam National University, Korea. His areas of interest are control applications for UAV path planning, decision making for unmanned systems and optimization algorithms with a focus on aerospace applications.
Beomyeol Yu received his B.Sc. and M.Sc. degrees in aerospace engineering from Chungnam National Unversity (CNU), Daejeon, Korea, in 2017 and 2019, respectively. His research interests cover dynamic modeling and control for various types of unmanned aerial vehicles, neural networks, reinforcement learning, cooperative aerial transportation, and embedded system implementations.
Seungkeun Kim received his B.Sc. degree in mechanical and aerospace engineering from Seoul National University (SNU), Seoul, Korea, in 2002, and then acquired a Ph.D. degree from SNU in 2008. He is currently a professor at the Department of Aerospace Engineering, Chungnam National University, Korea. He was an associate professor and an assistant professor at the same university from 2012 to 2020. Previously, he was a research fellow and a lecturer at Cranfield University, United Kingdom from 2008 to 2012. He is interested in micro aerospace systems, aircraft guidance and control, estimation, sensor fusion, fault diagnosis, fault tolerant control, and decision making for autonomous systems.
Seungkeun Kim received his B.Sc. degree in mechanical and aerospace engineering from Seoul National University (SNU), Seoul, Korea, in 2002, and then acquired a Ph.D. degree from SNU in 2008. He is currently a professor at the Department of Aerospace Engineering, Chungnam National University, Korea. He was an associate professor and an assistant professor at the same university from 2012 to 2020. Previously, he was a research fellow and a lecturer at Cranfield University, United Kingdom from 2008 to 2012. He is interested in micro aerospace systems, aircraft guidance and control, estimation, sensor fusion, fault diagnosis, fault tolerant control, and decision making for autonomous systems.
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Dileep, M.V., Yu, B., Kim, S. et al. Task Assignment for Deploying Unmanned Aircraft as Decoys. Int. J. Control Autom. Syst. 18, 3204–3217 (2020). https://doi.org/10.1007/s12555-019-1073-6
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DOI: https://doi.org/10.1007/s12555-019-1073-6