DocumentCode :
776298
Title :
Economy/regularity fuzzy-logic control of DC railway systems using event-driven approach
Author :
Chang, C.S. ; Phoa, Y.H. ; Wang, W. ; Thia, B.S.
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
Volume :
143
Issue :
1
fYear :
1996
fDate :
1/1/1996 12:00:00 AM
Firstpage :
9
Lastpage :
17
Abstract :
A methodology for predictive fuzzy control in an event-driven environment for multiobjective decision making on DC railway systems is presented. Railway operation is assessed by a set of performance indices, and the aim of fuzzy control is to score the best performance among these indices. In particular, the paper addresses regenerative braking in DC railways. The proposed methodology is implemented in two control loops: on each traction station and on each train dwell time at passenger stations
Keywords :
fuzzy control; predictive control; rail traffic; railways; regenerative braking; traction; traffic control; DC railway systems; control loops; event-driven approach; fuzzy-logic control; multiobjective decision making; passenger stations; performance indices; predictive fuzzy control; regenerative braking; traction station; train dwell time;
fLanguage :
English
Journal_Title :
Electric Power Applications, IEE Proceedings -
Publisher :
iet
ISSN :
1350-2352
Type :
jour
DOI :
10.1049/ip-epa:19960204
Filename :
488209
Link To Document :
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