Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Optimal Economical Running Patterns Based on Fuzzy Model

철도차량을 위한 퍼지모델기반 최적 경제운전 패턴 개발

  • 이태형 (한국철도기술연구원 고속철도사업단) ;
  • 황희수 (한라대학교 전기전자과)
  • Published : 2006.10.25
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Abstract

The optimization has been performed to search an economical running pattern in the view point of trip time and energy consumption. Fuzzy control model has been applied to build the meta-model. To identify the structure and its parameters of a fuzzy model, fuzzy c-means clustering method and differential evolutionary scheme ate utilized, respectively. As a result, two meta-models for trip time and energy consumption are constructed. The optimization to search an economical running pattern is achieved by differential evolutionary scheme. The result shows that the proposed methodology is very efficient and conveniently applicable to the operation of railway system.

본 논문은 전기철도차량의 운행시간 여유분을 고려하여 에너지 소비를 최소화하는 경제운전 패턴을 찾는 방안을 제시하였다. 경제최고속도와 타행끝점속도를 주행패턴의 변수로 사용하여 퍼지모델을 구축하고 이를 대상으로 진화 탐색을 적용하여 최적의 경제운전 패턴을 찾아낼 수 있으며, 사례연구를 통해 이를 입증하였다.

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References

  1. P.Pudney, P.Howlett, 'Optimal Driving Strategies for a Train Journey with Speed Limits', J. Austral. Math. Soc. B36, pp. 38-49, 1994
  2. P.Howlett, 'Optimal Strategies for the Control of a Train', Automatica, Vol.32, No.4, pp. 519-532, 1996 https://doi.org/10.1016/0005-1098(95)00184-0
  3. E.Khmelnitsky, 'On an Optimal Control Problem of Train Operation', IEEE Transactions on Automatic Control, Vol.45, No.7, July 2000 https://doi.org/10.1109/9.867018
  4. Iakov M.golovitcher, 'Energy Efficient Control of Rail Vehicles', 2001 IEEE International Conference on Systems, Man, and Cybernetics, pp. 658 - 663 vol.1
  5. Storn, Rainer and Price, Kenneth (1995). Differential Evolution - a Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Spaces. Technical Report TR-95-012, ICSI, March 1995
  6. H. S. Hwang and K. B. Woo, 'Linguistic Fuzzy Model Identification,' IEE Proceeding Part D.-Control Theory and Application, Vol. 142, No. 6, pp. 537-544, November, 1995 https://doi.org/10.1049/ip-cta:19952254
  7. H. S. Hwang, 'Automatic design of fuzzy rule base for modeling and control using evolutionary programming,' IEE Proceeding Part D.-Control Theory and Applications, Vol. 146, No.1, pp. 9-16, January, 1999 https://doi.org/10.1049/ip-cta:19990087
  8. H. S. Hwang, 'Control Strategy for Optimal Compromise between Trip Time And Energy Consumption in a High Speed Railway', IEEE Trans. on SMC, Part A: System and Humans, Vol. 28, Issue 6, Nov. 1998 https://doi.org/10.1109/3468.725350
  9. H. S. Hwang and G. S. Kim, 'Reliability Optimization of Communication Network in Train Control Systems via GAs', Trans. KIEE Vol. 44, No.4, p. 535-542, April, 1995
  10. 김치태, '전동열차의 주행에너지 소비를 최소화하는 최적 운전', 석사학위논문, 서울산업대학교 철도차량공학과, 2001
  11. 이태형, 박춘수, 신중린, '한국형 고속전철개발열차 열차성능해석 및 평가', 한국철도학회논문, 7권, 2호, pp. 120-124, 2004
  12. 황희수, '적응성 있는 차분 진화에 의한 함수최적화와 이벤트 클러스터링', 한국 퍼지 및 지능시스템학회, Vol. 12, No. 5, pp. 451-461, 2002 https://doi.org/10.5391/JKIIS.2002.12.5.451