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Data-based dynamic characteristic modeling and tracking control for high-speed train

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5 Author(s)
Gao Shi-gen ; State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China ; Qi Shu-hu ; Dong Hai-rong ; Ning Bin
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This paper introduces a novel dynamic characteristic modeling for high-speed train (HST) speed-position tracking control under time-varying, unpredictable and unknown operational environments. This method involves the construction of a dynamic characteristic model and design of a golden-section adaptive controller, which is a data-based model-free controller design approach and requires no precise mathematical description of the plant Based on the above methodology, speed-position tracking control and energy-saving operation problems of HST are studied. The effectiveness and preciseness of the proposed model and corresponding controllers are verified via numerical simulations, with high energy efficiency concurrently.

Published in:

Intelligent Control and Automation (WCICA), 2012 10th World Congress on

Date of Conference:

6-8 July 2012