Speed Control Algorithm for Automatic Train Operation Systems

Author

Gao Bing ; Dong Hairong ; Ning Bin

Author_Institution

Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China

fYear

2009

fDate

11-13 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

One-level speed adjustment braking of automatic train operation (ATO) system is studied in this paper. An approach of adaptive fuzzy control is proposed aiming at improving speed control performance, passenger comfort and operation efficiency. Shrinkage factor of variable universe is used to optimize quantization factor of fuzzy controller and the scale factor is adjusted by fuzzy reasoning. The simulation results show effectively on train location parking.

Keywords

adaptive control; fuzzy control; fuzzy reasoning; railways; velocity control; adaptive fuzzy control; automatic train operation systems; fuzzy reasoning; one-level speed adjustment braking; operation efficiency improvement; passenger comfort improvement; quantization factor; scale factor; shrinkage factor; speed control performance improvement; train location parking; variable universe; Adaptive control; Automatic control; Control systems; Fuzzy control; Fuzzy reasoning; Programmable control; Quantization; Rail transportation; Three-term control; Velocity control;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4507-3

Electronic_ISBN

978-1-4244-4507-3

Type

conf

DOI

10.1109/CISE.2009.5365215

Filename

5365215