Dynamics performance parameter optimizing method of high-speed train

Abstract

The invention provides a dynamics performance parameter optimizing method of a high-speed train, relates to the field of parameter design optimizing based on the dynamics simulation analysis of the high-speed train, and aims at effectively replacing a dynamics simulation model of the high-speed train by a comprehensive target neural network agent model and combining the design analysis and the multi-target optimization algorithm of the high-speed train in the multi-disciplinary field to analyze and optimize the dynamics simulation approximation model of the high-speed train. The method specifically comprises the steps of building a multi-rigidity dynamics simulation model for the high-speed train; determining related important input / output design spaces; selecting sampling strategy to obtain a design space sample set suitable for the dynamics performance analysis of the high-speed train; improving the generalization accuracy of the comprehensive target neural network by the bayesian regularization method; adjusting the number of nodes in a hidden layer to build the comprehensive target neural network agent network model of which the error is controlled to be within a certain of range; performing multi-target optimization through the intelligent differential evolution algorithm by using the improved comprehensive target neural network agent network model to obtain the optimized high-speed train design parameters. The method is mainly applied to the dynamics analysis and design optimization of the high-speed train.

Description

technical field [0001] The invention relates to the technical field of simulation analysis of high-speed train operation performance-related systems and high-speed train parameter design optimization, in particular to parameter design optimization based on high-speed train dynamics simulation analysis. Background technique [0002] From the perspective of dynamics, the high-speed train system is a nonlinear complex space coupling system, which involves track (bridge) system, high-speed train rolling stock system and pantograph-catenary system. In order to solve the design optimization problem of high-speed trains, it is necessary to conduct complex and in-depth research on structural dynamics, vehicle system dynamics, coupling dynamics, aerodynamics, and nonlinear theories. [0003] Structural dynamics is the use of related methods to study the unique problems in the structure of high-speed trains, including car body structural dynamics and track bridge structural dynamics, ...

AI Technical Summary

Problems solved by technology

[0006] At present, no relevant literature has been found to solve the multi-objective optimization problem of dynamic performance parameters of high-speed trains in a complex design space that fully considers the operating indicators. This problem has a high degree of complexity.

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