Train ATO target running speed curve optimization method and device

Abstract

The embodiment of the invention provides a train ATO target running speed curve optimization method and device, and the method comprises the steps of: calculating a plurality of performance indexes ofa current interval of a train running in a line, and constructing a target function for optimizing a target running speed curve of the train according to the plurality of performance indexes; determining a constraint condition of the target function according to the speed limit information of the line and the running time of the train in the current interval; and solving the target function according to the constraint condition based on a differential evolution algorithm to obtain a target running speed curve of the train. According to the embodiment of the invention, on the one hand, a target function for optimizing the target running speed curve of the train is constructed by using a plurality of performance indexes, so that the optimization of the train speed curve is more accurate; inaddition, the operation curve optimization problem is solved based on a differential evolution algorithm, probability distribution does not need to be used for generating next-generation solution members, and the problems that the genetic algorithm is prone to falling into local optimum and the convergence speed is low are solved.

Description

technical field [0001] The invention relates to the technical field of train operation control, in particular to a method and device for optimizing a train ATO target operating speed curve. Background technique [0002] Trains run back and forth on fixed lines along a determined train timetable, and better train driving performance can be obtained by optimizing the automatic driving strategy of the Automatic Train Operation (ATO) system. [0003] In terms of train speed curve optimization, at present, through the establishment of a continuous energy-saving control model, the Pontryagin maximum principle is used to analyze and prove that the optimal driving strategy of the train consists of four types: maximum traction, cruise, coasting and maximum braking. Condition composition. The speed curve and conversion point equation of the optimal working condition sequence are obtained by using the maximum value principle, and the numerical value is solved and analyzed. In the pri...

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Problems solved by technology

[0005] The embodiment of the present invention provides a method and device for optimizing the ATO target running speed curve of a train, which is used to solve the defects of inaccurate optimization of the train speed curve and large amount of computation in the prior art, and realize fast and accurate optimization of the train speed curve

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