透過您的圖書館登入
IP:3.135.198.7
  • 期刊

Path Planning based on Artificial Potential Field for Underwater Vehicles under Ocean Current Disturbance

摘要


The path planning problem of the underwater vehicles under ocean current disturbance is studied in this paper. Considering the influence of ocean current on underwater vehicles, an improved artificial potential field algorithm is proposed. For ocean current disturbance, a new current potential field is added to the traditional algorithms. Finally, the path planning ability of the proposed method is validated by simulation analysis.

參考文獻


I.M. Loutfi, M. Achille, M.A.J.J. Baptiste, et al. Artificial potential field neuro-fuzzy controller for autonomous navigation of mobile robots, Journal of Systems and Control Engineering, vol. 235(2021) No. 7, p. 1179-1192.
T. Zhao, H.D. Li and S.Y. Dian. Multi-robot path planning based on improved artificial potential field and fuzzy inference system1, Journal of Intelligent & Fuzzy Systems, vol. 39(2020) No. 5, p. 7621-7637.
H.X. Li, D.X. Gong and J.J. Yu. An obstacles avoidance method for serial manipulator based on reinforcement learning and Artificial Potential Field, International Journal of Intelligent Robotics and Applications, vol. 2021, No. 5, pp. 186-202.
H.H. Liu, H.H.T. Liu, C, et al. Navigation information augmented artificial potential field algorithm for collision avoidance in UAV formation flight, Journal of Aerospace Systems, vol. 3(2020) No. 3, p. 229-241.
D.Y. Wang, P. Wang, X.T. Zhang, et al. An obstacle avoidance strategy for the wave glider based on the improved artificial potential field and collision prediction model, Journal of Ocean Engineering, vol. 206 (2020), 107356.

延伸閱讀