Research and simulation of a high-performance algorithm for subway train control

The control of subway train must fulfill some demands, such as safety, punctuality, comfort, energy-efficient, stop precision and so on. In this paper, maximum principle and fuzzy control are applied to the control of train operation to design a high-performance algorithm. As the result of tests, we verified that the proposed algorithm could fulfill demands. First of all, based on the productions of foreign scholars, an algorithm of aim as energy-saving is developed applying the conclusions of maximum principle with regardless of comfortable-ride demand. Then it’s discussed that how comfort demand affects the algorithm. In the end, fuzzy controller is applied to achieve the comfort object. The algorithm has already used in the train running simulation.