Journal of Mechanical Science and Technology

  • 제15권1호
  • /
  • Pages.66-80
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  • 2001
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  • 1738-494X(pISSN)
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  • 1976-3824(eISSN)
대한기계학회 (The Korean Society of Mechanical Engineers)
권호 표지

Electronic Control of Braking Force Distribution for Vehicles Using a Direct Adaptive Fuzzy Controller

  • Kim, Hunmo (School of Mechanical Engineering, Sungkyunkwan University) ;
  • Kim, Seungdae (Graduate School, Sungkyunkwan University) ;
  • Sung, Yoon-Gyeoung (School of Mechanical Engineering, Yeungnam University)
  • 발행 : 2001.01.01
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초록

In brake systems, a proportioning valve(P. V), which reduces the brake line pressure on each wheel cylinder for the anti-locking of rear wheels, is closely related to the safety of vehicles. However, it is impossible for current P. V. s to completely control brake line pressure because, mechanically, it is an open loop control system. In this paper we describe an electronic brake force distribution system using a direct adaptive fuzzy controller in order to completely control brake line pressure using a closed loop control system. The objective of the electronic brake force distribution system is to change the cut-in-pressure and the valve slop of the P. V in order to obtain better performance of the brake system than with mechanical systems.

키워드

참고문헌

  1. BOSCH, 1993, Automotive Handbook, Robert Bosch GmbH
  2. Frederic, E. L., 1969, 'Proportioning Value to Skid Control-A Logical Progression,' SAE Paper 690456
  3. Giuseppe, P., 1970, 'Automatic Brake Proportioning Devices,' SAE Paper 700375
  4. Gunther, B., 1992, 'Electronic Brake force Distribution Control-A Sophisticated Addition to ABS,' SAE Paper 920646
  5. Hiroyuki, N., 1977, 'An Investigation of Braking Force Distribution,' JSAE Vol. 31, No. 3
  6. Jurgen, Ronald, 1997, Automotive Electronics Handbook, McGraw-Hill, Inc.
  7. Kevin, M. P. and Stephen, Y., 1998, Fuzzy Control, An Imprint of Addison-Wesley Longman, Inc.
  8. Kim, Y. S., 1997, 'Present Technic and Future Trend of ABS,' KSAE Vol. 19., No. 2, pp. 47-57
  9. Layne, J. R. and Kevin, M. P., 1993, 'Fuzzy Model Reference Learning Control for Cargo Ship Steering,' IEE Control Systems Magazine, Vol. 13, No. 6, pp. 23-34 https://doi.org/10.1109/37.248001
  10. Layne, J. R. and Kevin, M. P., 1996, Fuzzy Model Reference Learning Control To appear in the Journal of Intelligent and Fuzzy Systems
  11. Lefteri, H. T. and Robert, E. U., 1997, Fuzzy and Neural Approaches in Engineering, JOHN WILEY & SONS, INC.
  12. Li-Xin, W., 1994, Adaptive Fuzzy Systems and Control, Prentice~Hall, Inc.
  13. Mizutani, Shuji, 1992, Car Electronics, Nippondenso Co. Ltd.
  14. Rudolf, L., 1971, 'Proportional Braking of Solid Frame Vehicles,' SAE Paper 710047
  15. Rudolf, L., 1974, 'An Investigation of Brake Balance for Straight and curved Braking,' SAE Paper 741086
  16. Rudolf, L., 1992, Brake Design and Safety, Society of Automotive Engineers
  17. Thomas D. G., 1992, Fundamentals of Vehicle Dynamics, Society of Automotive Engineers
  18. Zadeh, L. A., 1973, 'Outline of a New Approach to the Analysis of Complex Systems and Decision Processes,' IEEE Trans. on Systems, Man, and Cybern., SMC~3, No. 1, pp. 28-44
  19. Zadeh, L. A., 1985, 'Syllogistic Reasoning in Fuzzy Logic and Its Application to Usuality and Reasoning with Dispositions,' IEEE Trans. on Systems, Man, and Cybern., SMC~15, No. 6, pp. 754-763