Reducing Travel Energy Costs for a Subway Train via Fuzzy Logic Controls
Train controls at the Montreal Subway are revisited. A simulation environment is developed and used to analyze the desirability of replacing present (PID based) controls by fuzzy logic controllers which consume less energy. Two fuzzy logic controllers are proposed: the first one turned out to produce practically no improvement, but the second one achieved an average of 6% energy savings while slightly reducing the average train travelling time from present levels.
Khanbaghi, M., & Malhame, R. P. (1994). Reducing travel energy costs for a subway train via fuzzy logic controls. Proceedings of 1994 9th IEEE International Symposium on Intelligent Control, 99–104. https://doi.org/10.1109/ISIC.1994.367834