An intelligent control system design for autonomous underwater vehicle

무인 수중운동체를 위한 지능제어시스템 설계

  • Published : 1997.06.01

Abstract

Autonomous Underwater Vehicles(AUVs) have become an important tool for various purposes in subsea: inspection, recovery, construction, etc., and the development of autonomous control system is luglay desirable- thete zffe many problems associated with designing the control system for AUV due to unknown underwater envimn-Tnent, the possibility of subsystem failures, and unpredictable changes in the dynamics of the vehicle. In this paper, an autonomous control system based on the intelligent control theory to enhance operation efficiency of the ALTV is presented. The control system has a hierarchical structure which consists of mission planning level, mission control level, navigation level, and execution level. The performance of the control system is investigated by computer simulation. The results show that the proposed control system can be applied successfully to the AUV in spite of the possibility of failures in the vehicle and the collision hazard in the sea environment.

Keywords

References

  1. Sea Technology Autonomous underwater vehicle R&D trends F. Busby;J.R. Vadus
  2. International Defense Review Autonomous underwater vehicles: the naval force-multiplier D. Foxwell
  3. Intelligent Autonomous Systems Autonomous underwater vehicles:current activities and research opportunities D. Blidberg
  4. UCN-207-1353.D. 해양작업 시스템 개발(Ⅰ) 해사기술연구소
  5. UDT proc. Autonomous underseavehicle technology development in the US:an update D. Steiger
  6. Naval Engineers Journal The NPS AUV Ⅱ autonomous underwater vehicle testbed: design and experimental verification A.J. Healey;M.R. Good
  7. Automatica v.15 A linguistic self-organising process controller T.J. Procyk;E.H. Mamadani
  8. Stability and Motion Control of Ocean Vehicles M.A. Abkowitz
  9. DTNSRDC/spp-0393 -03 DTNSRDC revised standard submarine equations of motion J. Feldman
  10. Principles of Artificial Intelligence N.J. Nilsson
  11. Expert Systems and Fuzzy Systems C.V. Negoita
  12. Expert Systems: Principles and Case Studies R. Forsyth
  13. ATRC-409-940870 첨단 군화기 고장진단을 위한 전문가 시스템 개발에 관한 연구(Ⅱ) 국방과학연구소
  14. ATRC-409-940861 전문제어시스템에 관한 연구(Ⅱ) 국방과학연구소
  15. 전기학회 논문지 v.44 no.2 퍼지추론에 의한 XLPE 케이블의 절연진단 전문가 시스템 구축 최영창(외)
  16. 퍼지이론 및 응용(Ⅰ),(Ⅱ) 이광형;오길록
  17. Automatica v.25 no.6 Performance monitoring in expert control systems R. Doraiswam;J. Jiang
  18. AD-A222709 Guidance and control system for an autonomous vehicle M.J. Cloutier
  19. 전기학회논문지 v.41 no.9 자율 이동로보트의 퍼지제어기에 관한 연구 주영훈(외)
  20. AD-A246177 Design and implementation of a collision avoidance system for the NPS AUV Ⅱ utilizing ultrasonic sensors C.A.Floyd
  21. IEEE Trans. Oceanic Engineering v.15 Multivariable self-tuning autopilots for autonomous and remotely operated underwater vehicles K.R. Goheen;E.R. Jefferys
  22. Proc. of International Conference on Modelling and Control of Marine Craft Scope and limitation of a fuzzy self-organizing controller for warship stabilisation R. Sutton
  23. IEE proc.-D v.138 Self-organising fuzzy logic control and application to muscle relaxant anaesthesia D.A. Linkens;S.B. Hasnain
  24. Warship '93 RINA Intnl. Symposium on Naval Submarines, paper no.23 v.4 The use of fuzzy logic theory in the design of depth control system for a submersible vehicle J.L Choi;D.K. Lee;H.Y. Kim
  25. IEEE Trans. Sys. Mon and Cybern v.16 no.5 Multivariable structure of fuzzy control systems M.M. Gupta(et al.)
  26. Fuzzy Sets and Systems v.23 Solution of multivariable fuzzy equations G.M. Trojan;J.B. Kuszka
  27. Proc. IFAC Workshop CAMS'95 A model reference self-organizing fuzzy logic controller for auto depth control system of a submersible vehible J.L. Choi;D.I. Lee;C.S. Hwang
  28. IEEE Trans. on Fuzzy Systems v.1 no.4 On methods for improving performance of PI-type fuzzy logic controilers J. Lee
  29. AD-A248120 NPS AUV integrated simulator D.P. Brutzman
  30. AD-A246016 Three dimensional path planning for the NPS Ⅱ AUV T.W. Caddell