出版社：Japan Society for Fuzzy Theory and Intelligent Informatics
摘要：From the viewpoint of safety and noise reduction, the study on anti-lock braking systems of rolling stock is very important. But, the skid of wheels of rolling stock 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 available to controlled systems with strong uncertainty. Thus, we can consider that fuzzy reasoning is also available to braking systems of rolling stock. In this paper, we propose a new anti-lock braking system with fuzzy reasoning for rolling stock in order to shorten braking distance. The proposed system can realize not only shortening of braking distance but also reduction of calculational volume and facilitation of tuning. Moreover, we show that the proposed system can shorten braking distance through numerical simulation.
