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Kuo Lung Lian
National Taiwan University of Science and Technology
Computer Science & IT Electrical & Electronics Engineering

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Speed Control of a Single Taipei Mass Rapid Transit System Train by Using a Single Input Fuzzy Logic Controller Hari Maghfiroh; Oyas Wahyunggoro; Adha Imam Cahyadi; Kuo Lung Lian; Bwo Ren Ke
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 2: April 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (416.172 KB) | DOI: 10.11591/ijece.v6i2.pp621-629

Abstract

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).
Co-Authors Adha Imam Cahyadi Bwo Ren Ke Hari Maghfiroh Oyas Wahyunggoro