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Collision Avoiding Navigation of Marine Vehicles Using Fuzzy Logic

  • Joh, Joong-seon (Dept. of Control &Instrumentation Eng., Changwon National University #9 Sarim-dong, Changwon,) ;
  • Kwon, Kyung-Yup (Dept. of Control &Instrumentation Eng., Changwon National University #9 Sarim-dong, Changwon,) ;
  • Lee, Sang--Min (Dept. of Control &Instrumentation Eng., Changwon National University #9 Sarim-dong, Changwon,)
  • Published : 2002.06.01

Abstract

A fuzzy logic for collision avoiding navigation of marine vehicles is proposed in this paper. VFF(Virtual Force Field) method, which is used widely in the field of mobile robots, is modifiel to apply to marine vehicles. The method is named MVFF (Modified Virtual Force Field) mothod. The MVFF consists of the determination of the heading angles far track-keeping mode ($\psi_{ca}$)and collision avoidance mode ($\psi_{ca}$). The operator can choose the pattern of the track-keeping mode in the proposed algorithm. The collision avoidance algorithm can handle static and/or moving obstacles. These functons are implemented using fuzzy logic. Various simulation results verify the proposed alogorithm.

Keywords

References

  1. Thor. I. Fossen, 'Guidance and Control of Ocean Vehicles,' John Wiley & Sons Ltd., 1994
  2. X. K. Zhang, X. L. Jia, and X. C. Wang, 'Robust Track-keeping Autopilot for Ships', Proceedings of the 3rd IFAC Workshop on Control Applications in Marine Systems, pp 138-142, 1995
  3. T. Holzhuter, 'LQG Approach for the High-Precision Track Control of Ships,' IEE Proceedings Control theory & Applications, V.144 N.2, pp. 121-128, 1997 https://doi.org/10.1049/ip-cta:19971032
  4. A. Lozowicki and Z. Zwierzewica, 'On Adaptation of $H^\infty$ Control To The Ship Trajectory Tracking Problem,' Proceedings of the 3rd IFAC Workshop on Control Applications in Marine Systems, pp. 131-137, 1995
  5. Zhang R. J., Chen Y. B., Sun Z.Q., Sun F.C., and Xu H. Z., 'Path Control of a Surface Ship in Restricted Waters Using Sliding Mode,' IEEE Transactions on Control Systems Technology, V.8 N.4, pp. 722-732, 2000 https://doi.org/10.1109/87.852916
  6. N. A. J. Witt, R. Sutton, and K. M. Miller, 'A Track Keeping Neural Network Controller for Ship Guidance,' Proceedings of the 3rd IFAC Workshop on Control Applications in Marine Systems, pp. 385-392, 1995
  7. T. W. Vaneck, 'Fuzzy Guidance Controller for an Autonomous Boat,' IEEE Control Systems, V.17 N.2, pp. 43-51, 1997 https://doi.org/10.1109/37.581294
  8. Y. M. Enab, 'Intelligent Controller Design for The Ship Steering Problem,' IEE Proceedings Control theory & Applications, V.143 N.1, pp. 17-24, 1996 https://doi.org/10.1049/ip-cta:19960119
  9. Kwang-Young Im, Se Young Oh, 'An Extended Virtual Force Field Based Behavioral Fusion with Neural Networks and Evolutionary Programming for Mobile Robot Navigation,' Proceedings of the 2000 Congress on Evolutionary Computation - Volume 2, pp. 1238-1244, 2000
  10. Ahmad A. Masoud and Mohamed M.Bayoumi, 'Robot navigation using the vector potential approach,' In Proc. 1993 IEEE international Conference on Robotics and Automation, Vol. 1, pp. 805-811, 1993