Abstract
From the viewpoint of safety and noise reduction, the study on anti-lock braking systems of railways is very important. But, the skid of wheels of railways is strongly uncertain phenomenon so that it is too hard to control it and there are no general guides to construct anti-lock braking systems. By the way, it is well-known that fuzzy reasoning is useful to controlled systems with strong uncertainty. Thus, we can consider that fuzzy reasoning is also available to braking systems of railways. In this paper, we propose a new system with fuzzy reasoning, which is the braking system for train sets into which ABS with fuzzy reasoning is integrated. Moreover, through numerical simulations and practical tests, we show that the proposed system can shorten braking distance and reduce wheel damages.
