Title :
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
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;
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
DOI :
10.1109/CISE.2009.5365215
