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Study on Catenary Current Harmonic and Traction Characteristics of New Type Electric Multiple Unit Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Discrete Fuzzy Model Optimal Identification Based Approach for High Speed Train Operation

Authors : Kunpeng Zhang, Chunlan An

Published in: Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017

Publisher: Springer Singapore

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Abstract

This paper investigates the problem of high speed train operation with special attention to minimizing the discrete constraint conditions between on-board traction network and group signaling equipment. A new discrete fuzzy model for train operation is developed, and its novelty lies in the fact that it optimizes the discrete model using relative degree criterion, which contains two processes of model order identification and model parameters local optimization. Then, we utilize a fuzzy weighted least square method to solve the global optimization problem of model parameters. In the end, simulation experiments have been implemented on the CRH2C-type high speed train, which validates the correctness of the proposed model.

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Metadata
Title
Discrete Fuzzy Model Optimal Identification Based Approach for High Speed Train Operation
Authors
Kunpeng Zhang
Chunlan An
Copyright Year
2018
Publisher
Springer Singapore
Book
Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017

Print ISBN: 978-981-10-7985-6

Electronic ISBN: 978-981-10-7986-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7986-3_96

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