Group-SMA Algorithm Based Joint Estimation of Train Parameter and State

  • Wei Zheng National Research Center of Rail Transportation Operation and Control System,Beijing Jiaotong University,Beijing,China; Humboldt Researcher in the institute of traffic safety and automation engineering,Technical University of Braunschwieg,Braunschweig, Germany
  • Juan Han National Research Center of Rail Transportation Operation and Control System,Beijing Jiaotong University,Beijing,China;
  • Weijie Kong National Research Center of Rail Transportation Operation and Control System,Beijing Jiaotong University,Beijing,China;
  • Lixiang Wang National Engineering Research Center of Rail Transportation Operation and Control System,
Beijing Jiaotong University,
No.3 Shangyuancun, Xizhimenwai, Haidian District,Beijing, 100044, China

DOI: https://doi.org/10.7307/ptt.v27i1.1499
Keywords: parameter estimation, state estimation, particle filter, rail braking system

Abstract

The braking rate and train arresting operation is important in the train braking performance. It is difficult to obtain the states of the train on time because of the measurement noise and a long calculation time. A type of Group Stochastic M-algorithm (GSMA) based on Rao-Blackwellization Particle Filter (RBPF) algorithm and Stochastic M-algorithm (SMA) is proposed in this paper. Compared with RBPF, GSMA based estimation precisions for the train braking rate and the control accelerations were improved by 78% and 62%, respectively. The calculation time of the GSMA was decreased by 70% compared with SMA.

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Wei Zheng, National Research Center of Rail Transportation Operation and Control System,Beijing Jiaotong University,Beijing,China; Humboldt Researcher in the institute of traffic safety and automation engineering,Technical University of Braunschwieg,Braunschweig, Germany
Wei Zheng received the Ph.D degree in Control Science and Engineering in Harbin Institute of Technology,Harbin, in 2002. His post-doc research was done in the institute of traffic safety and automation engineering in Technical University of Braunschwieg,Braunschweig, Germany from 2007-2008.Now he is in the same institute as the experienced researcher supported by the Alexander von Humboldt Foundation from 2013.11 to 2014.11. He is an associateprofessor in National Engineering Research Center for Railway Traffic Operation Control System, Beijing Jiaotong University, Beijing. His research work is in the area of test generation of the signaling system with emphasis on formal methods in the railway domain. In addition, his research interests include the developmentof the testing platforms and the operation control systems of the Chinesehigh-speed railway.
Juan Han, National Research Center of Rail Transportation Operation and Control System,Beijing Jiaotong University,Beijing,China;
Juan Han received the Bachelor of Engineering and will receive the Master of Engineering degrees inElectronic and Information Engineering all from the Beijing Jiaotong University, China, in 2011 and 2014 respectively. Her research interest is parameter and state identificaiton of traffic operation system.
Weijie Kong, National Research Center of Rail Transportation Operation and Control System,Beijing Jiaotong University,Beijing,China;
Weijie Kong received the Bachelor of Engineering and will receive the Master of Engineering degrees inElectronic and Information Engineering all from the Beijing Jiaotong University, China, in 2011 and 2014 respectively. Her research interest is parameter and state identificaiton of traffic operation system.
Lixiang Wang, National Engineering Research Center of Rail Transportation Operation and Control System,
Beijing Jiaotong University,
No.3 Shangyuancun, Xizhimenwai, Haidian District,Beijing, 100044, China

Lixiang Wang received the Bachelor of Engineering and will receive the Master of Engineering degrees inElectronic and Information Engineering all from the Beijing Jiaotong University, China, in 2013 and 2015 respectively. His research interest is parameter and state identificaiton of traffic operation system.

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Published
2015-03-02
How to Cite
1.
Zheng W, Han J, Kong W, Wang L. Group-SMA Algorithm Based Joint Estimation of Train Parameter and State. Promet [Internet]. 2015Mar.2 [cited 2024Nov.23];27(1):85-. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/1499
Issue
Vol 27 No 1 (2015)
Section
Articles

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