ECONOMY REGULARITY FUZZY-LOGIC CONTROL OF DC RAILWAY SYSTEMS USING EVENT-DRIVEN APPROACH

Authors
CHANG CS PHOA YH WANG W THIA BS
Citation
Cs. Chang et al., ECONOMY REGULARITY FUZZY-LOGIC CONTROL OF DC RAILWAY SYSTEMS USING EVENT-DRIVEN APPROACH, IEE proceedings. Electric power applications, 143(1), 1996, pp. 9-17
Citations number
8
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
IEE proceedings. Electric power applications → ACNP
ISSN journal
13502352
Volume
143
Issue
1
Year of publication
1996
Pages
9 - 17
Database
ISI
SICI code
1350-2352(1996)143:1<9:ERFCOD>2.0.ZU;2-3
Abstract
A methodology for predictive fuzzy control in an event-driven environm ent for multiobjective decision making on DC railway systems is presen ted. Railway operation is assessed by a set of performance indices, an d the aim of fuzzy control is to score the best performance among thes e indices. In particular, the paper addresses regenerative braking in DC railways. The proposed methodology is implemented in two control lo ops: on each traction station and on each train dwell time at passenge r stations.