Please use this identifier to cite or link to this item:
https://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 | Citation: | 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 |
Show full item record
Files in This Item:
There are no files associated with this item.
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.