On Estimation of Tangential Force in Railways Brake Systems by Fuzzy Inference

Toru Sano; Yasunori Endo; Shin-ichi Nakazawa; Daisuke Hijikata

doi:10.20965/jaciii.2015.p0639

single-jc.php

« previous

JACIII Vol.19 No.5 pp. 639-644

doi: 10.20965/jaciii.2015.p0639

(2015)

Paper:

Views over last 60 days: 717

On Estimation of Tangential Force in Railways Brake Systems by Fuzzy Inference

Toru Sano^, Yasunori Endo^, Shin-ichi Nakazawa^, and Daisuke Hijikata^***

^*Master's Program in Risk Engineering, University of Tsukuba
1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan

^**Faculty of Engineering, Information and Systems, University of Tsukuba
1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan

^***Railway Technical Research Institute
2-8-38 Hikari-cho, Kokubunji, Tokyo 185-8540, Japan

Received:

January 31, 2015

Accepted:

June 16, 2015

Published:

September 20, 2015

Keywords:

tangential force, railway brake system, fuzzy inference

Abstract

The tangential force that occurs between railway wheels and rails and the force is very important because it greatly affects the brake performance. However,tangential force, which fluctuates due to factors such as weather and rail conditions, is difficult to actually measure. We consider how to estimate tangential force based on observed in railway operation. First, we try using a dynamical model to improve the input accuracy in estimating tangential force. Second, we propose a way to estimate tangential force by using fuzzy inference with modified input. Third, we show through numerical experiments that our proposed method works appropriately and effectively.

Cite this article as:

T. Sano, Y. Endo, S. Nakazawa, and D. Hijikata, “On Estimation of Tangential Force in Railways Brake Systems by Fuzzy Inference,” J. Adv. Comput. Intell. Intell. Inform., Vol.19 No.5, pp. 639-644, 2015.

Data files:

References

[1] T. Nonaka, “Studies of Anti-Lock Braking System in Railways,” Graduate School of Systems and Information Engineering, University of Tsukuba, Japan, 2007. (in Japanese)
[2] T. Ohyama, “Topics of Adhesion – Adhesion Force of Wheels and Rails, and Applications of it –,” Rail and Tech Publishing Ltd., Japan, 2002. (in Japanese)
[3] T. Asanome,“Studies of Multi-Stage Fuzzy Reasoning for Anti-Lock Braking System in Railways,” Graduate School of Systems and Information Engineering, University of Tsukuba, Japan, 2006. (in Japanese)
[4] H. Katayama, “Studies of Deceleration Control with Lookahead Fuzzy Control in Railways,” Graduate School of Systems and Information Engineering, University of Tsukuba, Japan, 2009. (in Japanese)
[5] M. Kimura, “Studies of Train Automatic Stopping Controller with Tuning Function by Lookahead Fuzzy Control in Railways,” Graduate School of Systems and Information Engineering, University of Tsukuba, Japan, 2012. (in Japanese)
[6] E. H. Mamdani, “Application of fuzzy algorithms for control of simple dynamic plant,” Proc. of IEEE, Vol.121, No.12, pp. 1585-1588, 1974.
[7] L. A. Zadeh, “Fuzzy sets,” Information Control, Vol.8, pp. 228-353, 1965.

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1] T. Nonaka, “Studies of Anti-Lock Braking System in Railways,” Graduate School of Systems and Information Engineering, University of Tsukuba, Japan, 2007. (in Japanese)

[2] [2] T. Ohyama, “Topics of Adhesion – Adhesion Force of Wheels and Rails, and Applications of it –,” Rail and Tech Publishing Ltd., Japan, 2002. (in Japanese)

[3] [3] T. Asanome,“Studies of Multi-Stage Fuzzy Reasoning for Anti-Lock Braking System in Railways,” Graduate School of Systems and Information Engineering, University of Tsukuba, Japan, 2006. (in Japanese)

[4] [4] H. Katayama, “Studies of Deceleration Control with Lookahead Fuzzy Control in Railways,” Graduate School of Systems and Information Engineering, University of Tsukuba, Japan, 2009. (in Japanese)

[5] [5] M. Kimura, “Studies of Train Automatic Stopping Controller with Tuning Function by Lookahead Fuzzy Control in Railways,” Graduate School of Systems and Information Engineering, University of Tsukuba, Japan, 2012. (in Japanese)

[6] [6] E. H. Mamdani, “Application of fuzzy algorithms for control of simple dynamic plant,” Proc. of IEEE, Vol.121, No.12, pp. 1585-1588, 1974.

[7] [7] L. A. Zadeh, “Fuzzy sets,” Information Control, Vol.8, pp. 228-353, 1965.

On Estimation of Tangential Force in Railways Brake Systems by Fuzzy Inference

Toru Sano*, Yasunori Endo**, Shin-ichi Nakazawa***, and Daisuke Hijikata***

Toru Sano^, Yasunori Endo^, Shin-ichi Nakazawa^, and Daisuke Hijikata^***