Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/62083
Title: Economy/regularity fuzzy-logic control of DC railway systems using event-driven approach
Authors: Chang, C.S. 
Phoa, Y.H.
Wang, W.
Thia, B.S.
Keywords: Electrical railway operation
Event-driven approach
Firing angle and tap adjustment
Fuzzy logic
Performance indices
Issue Date: 1996
Source: Chang, C.S.,Phoa, Y.H.,Wang, W.,Thia, B.S. (1996). Economy/regularity fuzzy-logic control of DC railway systems using event-driven approach. IEE Proceedings: Electric Power Applications 143 (1) : 9-17. ScholarBank@NUS Repository.
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. © IEE, 1996.
Source Title: IEE Proceedings: Electric Power Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/62083
ISSN: 13502352
Appears in Collections:Staff Publications

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