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Original paper

Optimisation of current collection quality of high-speed pantograph-catenary system using the combination of artificial neural network and genetic algorithm

Volume: 61, Issue: 1, Pages: 260 - 285
Published: Mar 1, 2022
Abstract
In this paper, The combination of back-propagation neural network (BPNN) and genetic algorithm (GA) is used to optimize the current collection quality of the pantograph-catenary system. The contact force standard deviation (CFSD) between pantograph and catenary is utilized as the optimization index. The optimization works in this paper are as follows. 1. The equivalent mass, stiffness, and damping of the pantograph. 2. The distance between each...
Paper Details
Title
Optimisation of current collection quality of high-speed pantograph-catenary system using the combination of artificial neural network and genetic algorithm
Published Date
Mar 1, 2022
Volume
61
Issue
1
Pages
260 - 285
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