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| Planing Avoidance Control for a Supercavitating Underwater Vehicle Based on Potential Functions |
| Seonhong Kim, Nakwan Kim, Minjae Kim, Jonghoek Kim, Kurnchul Lee |
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J. Ocean Eng. Technol.. 2018;32(3):208-212. Published online June 28, 2018 DOI: https://doi.org/10.26748/KSOE.2018.6.32.3.208 |
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Planing Avoidance Control for a Supercavitating Underwater Vehicle Based on Potential Functions Journal of Ocean Engineering and Technology. 2018;32(3):208-212  Depth and Attitude Coordinated Control for Supercavitating Vehicle Avoiding Planing Force Machines. 2022;10(6):433 Control method for ventilated supercavitating vehicle considering planing avoidance and stability Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment. 2018;233(3):957-968 Attitude control of Underwater Supercavitating Vehicles Based on Variable Structure 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). 2019; Path Planning for Collision Avoidance Based on Artificial Potential Field with Vehicle Dimension Constraint 2022 41st Chinese Control Conference (CCC). 2022; Performance Analysis on Depth and Straight Motion Control based on Control Surface Combinations for Supercavitating Underwater Vehicle Journal of the Korea Institute of Military Science and Technology. 2021;24(4):435-448 Modeling and simulations of supercavitating vehicle with planing force in the longitudinal plane Applied Mathematical Modelling. 2015;39(19):6008-6020 Adaptive barrier Lyapunov function-based obstacle avoidance control for an autonomous underwater vehicle with multiple static and moving obstacles Ocean Engineering. 2022;243:110303 Structure Buckling Reliability Analysis for the Underwater Super-Speed Supercavitating Vehicle Key Engineering Materials. 2011;488-489:601-604 Q-learning Based Obstacle Avoidance Control of Autonomous Underwater Vehicle with Binocular Vision 2022 41st Chinese Control Conference (CCC). 2022; |
