Affiliation:
1. Beijing University of Chemical Technology
2. Beijing Union University
3. Shanxi Normal University
Abstract
As a sub-system of ATC system, the ATO subsystem is a very important part, which is the technical measure that can raise the train movement level of urban track transportation (on time, comfortably, energy-saving). Using LabVIEW embedded control system to simulate the ATO system with two levels of Fuzzy Neural Network. By studying and differencing the input data in preceding network, the best operating condition of the train in the specific position can obtain, according to which the latter network infers train's running speed under current condition.
Publisher
Trans Tech Publications, Ltd.
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