Seiji Yasunobu

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Control in Transportation Systems#R##N#Proceedings of the 4th IFAC/IFIP/IFORS Conference, Baden-Baden, Federal Republic of Germany, 20–22 April 1983 | 1984

Seiji Yasunobu; Shoji Miyamoto; Hirokazu Ihara

A fuzzy control that uses rules based on a skilled human operators experience is applied to automatic train operations. Essentially, train operation is a nonlinear control function. Up to now, this system has been developed by linearlized control using a target pattern. However, it was difficult to control the train in a manner similar to a human operator. In this paper, a fuzzy control which uses linguistical control rules is proposed. Furthermore, an automatic train operation system which evaluates safety, comfort, traceability of target velocity, and the accuracy of a stop gap has been developed. According to the result of the simulation, our newly developed automatic control system having the fuzzy control realizes a comfortable and accurate stop control, and its control rules are easy to understand and are connected to the performance indices. Therefore, system performance can be directly adjusted as desired.

Readings in Fuzzy Sets for Intelligent Systems | 1993

Seiji Yasunobu; Shoji Miyamoto; Hirokazu Ihara

Abstract A fuzzy control that uses rules based on a skilled human operators experience is applied to automatic train operations. Essentially, train operation is a nonlinear control function. Up to now, this system has been developed by linearlized control usina a target pattern. However, it was difficult to control the train in a manner similar to a human operator. In this paper, a fuzzy control which uses linguistical control rules is proposed. Furthermore, an automatic train operation system which evaluates safety, comfort, traceability of target velocity, and the accuracy of a stop gap has been developed. According to the result of the simulation, our newly developed automatic control system having the fuzzy control realizes a comfortable and accurate stop control, and its control rules are easy to understand and are connected to the performance indices. Therefore, system performance can be directly adjusted as desired.

Archive | 1988