DOI QR코드

DOI QR Code

유도전동기를 이용한 차량주행특성 시뮬레이터

Vehicle Running Characteristic Simulator using Induction Motor

  • 투고 : 2011.08.19
  • 심사 : 2011.09.15
  • 발행 : 2011.10.01

초록

In this paper, we propose vehicle running characteristic simulator. The developed simulator is configured by two induction motors which are directly coupled with each other. One motor is to simulate the vehicle drive and another motor is to simulate the vehicle dynamic load including running resistance, gradient resistance and adhesive characteristics between rail and wheel. The running characteristics of vehicle are modeled by numerical formulas. These are programed by software of embedded controller. Thus, it is possible to change several running characteristics during the running test freely and instantly. To evaluate the feasibility of the simulator, the experiments on slip and adhesion coefficient are performed. Additionally the adhesion control and speed control of vehicle are tested with simulator. Experimental results show that the simulator can produce the driving characteristics similar to the vehicle system.

키워드

참고문헌

  1. W-S.Kim, Y-S.Kim, J-K.Kang, and S-K.Sul. "Electro-mechanical re-adhesion control simulator for inverter-driven railway electric vechicle", Conference Record of the 1999 IEEE Industry Applications Conference,2:1026-1032, 1999
  2. 변윤섭, 김영철, "주행특성을 고려한 차량 견인시스템 모델링" 전기학회논문지 제56권 제11호 pp.1955-1961, 2007년 11월
  3. Kiyoshi Ohishi, Yasuaki Ogawa, "Adhesion Control for Electric Motor Coach Based on Force Control Using Distrubance Observer", AMC2000-NAGOYA, , 323-328, 2000
  4. Yosuke Takaoka, Atsuo Kawamura, "Disturbance Observer Based Adhesion Control for Sinkansen", AMC2000-NAGOYA, , 169-174, 2000
  5. Atsuo Kawamura, Keiichi Takeuchi, Takemasa Furuya. "Measurement of the Tractive Force and the New Adhesion Control by the Newly Developed Tractive Force Measurement Equipment", PCC-Osaka, pp.879-884, 2002
  6. Doh-Young Park, Moon-Sup Kim, Don-Ha Hwang, Joo-Hoon Lee, Young-Joo Kim, "Re-adhesion Control for High-speed Electric Railway with Parallel Motor Control System", ISIE 2001, Pusan, Korea, pp.1124-1129
  7. Hideo Sado, Shin-ichiro Sakai, and Yoichi Hori. "Road condition estimation for traction control in electric vehicle". In The 1999 IEEE International Symposium on Industrial Electronics, pp. 973-978, Bled, Slovenia, 1999.
  8. R. Rizzo, D. Iannuzzi, "Indirect friction force identification for application in traction electric drives", Mathematics and Computers in Simulation, Volume 60, Issues 3-5, 30 September 2002, pp. 379-387 https://doi.org/10.1016/S0378-4754(02)00030-7
  9. Masao Tomeoka, Naoji Kabe, Masuhisa Tanimoto, Eiji Miyauchi, Machi Nakata, "Friction control between wheel and rail by means of on-board lubrication", Wear, Volume 253, Issues 1-2, July 2002, pp. 124-129 https://doi.org/10.1016/S0043-1648(02)00091-1
  10. A. Kawamura, T. Furuya, K. Takeuchi, Y. Takaoka, K. Yoshimoto, and M. Cao, "Maximum adhesion control for Shinkansen using the tractive force tester," in Proc. IEEE Power Conversion Conf., Osaka, Japan, 2002, vol. 1, pp. 567-572.
  11. P. Khatun, C. M. Bingham, N. Schofield, and P. H. Mellor, "Application of fuzzy control algorithm for electric vehicle antilock braking/traction control systems," IEEE Transactions on Vehicular Technology, vol. 52, no.5, pp. 1356-1364, Sept. 2003. https://doi.org/10.1109/TVT.2003.815922
  12. T. Furuya, Y. Toyoda and Y. Hori, "Implementation of Advanced Adhesion Control for Electric Vehicle", Proc. IEEE Workshop on Advanced Motion Control (AMC-Mie'96), Vol.2, pp.430-435, 1996.