Speed Control of a Single Taipei Mass Rapid Transit System Train by Using a Single Input Fuzzy Logic Controller

Hari Maghfiroh (Universitas Gadiah Mada)
Oyas Wahyunggoro (Universitas Gadiah Mada)
Adha Imam Cahyadi (Universitas Gadiah Mada)
Kuo Lung Lian (National Taiwan University of Science and Technology)
Bwo Ren Ke (National Penghu University of Science and Technology)

International Journal of Electrical and Computer Engineering
Vol 6, No 2: April 2016

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).