Open AccessSpeed Control of a Single Taipei Mass Rapid Transit System Train by Using a Single Input Fuzzy Logic Controller
Author(s) -
Hari Maghfiroh,
Oyas Wahyunggoro,
Adha Imam Cahyadi,
Kuo Lung Lian,
Bwo Ren Ke
Publication year - 2016
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v6i2.pp621-629
Subject(s) - track (disk drive) , control theory (sociology) , fuzzy logic , controller (irrigation) , computer science , curvature , fuzzy control system , reduction (mathematics) , control engineering , control (management) , mathematics , engineering , artificial intelligence , geometry , agronomy , biology , operating system
The purpose of this study was to design a speed controller for mass rapid transit (MRT) train by using a single input fuzzy logic controller (SIFLC). A complete train model, which was designed according to the design of a Taipei MRT train was used for analyzing both mechanical and electrical parts. The SIFLC was used for improving a fuzzy logic controller (FLC) by reducing its number of control rules. The results indicated that the SIFLC exhibited more favorable performance than the FLC did and a substantial reduction in the number of fuzzy rules and processing time. Therefore, tuning the SIFLC was easier compared with tuning the FLC; furthermore, the simulation time of the SIFLC was shorter than that of the FLC, exhibiting reductions of up to 17.3% in a constant track (track without gradient and curvature) and up to 12.27% in a variable track (track with gradient and curvature).