Anti-hunting damper performance parameter and fault identification method based on non-linear filtering

Abstract

The invention discloses an anti-hunting damper performance parameter and fault identification method based on non-linear filtering. The method comprises steps that S1, a vehicle suspension system transverse dynamic model is established; S2, according to the vehicle suspension system transverse dynamic model, a discrete state equation and a discrete observation equation of a suspension system are established; and S3, based on the discrete state equation and the discrete observation equation of the suspension system, performance parameter identification and fault identification of an anti-hunting damper of the suspension system are carried out based on a marginalized particle filter algorithm. The method is advantaged in that difference between the model and actual high-speed train parameters of actual operation is reduced, and accuracy of the identification result is improved.

Description

technical field [0001] The invention relates to the field of fault identification of a high-speed train suspension system. More specifically, it relates to a performance parameter and fault identification method of an anti-snaking shock absorber based on nonlinear filtering. Background technique [0002] Railway is the main artery of national economic development and an important support for the realization of national modernization. As a safe, high-speed and comfortable mode of transportation, high-speed railway has played a huge role in promoting the development of national economy and society. In 2016, the adjusted "Medium and Long-Term Railway Network Planning" clearly proposed to build a high-speed railway network with "eight vertical and eight horizontal" main passages as the skeleton, regional connecting lines connecting, and intercity railways supplementing. The status of high-speed railway transportation in my country's transportation, especially railway transport...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a performance parameter and fault identification method of an anti-snake shock absorber based on nonlinear filtering, to solve the problem that the existing high-speed train suspension system performance parameters and fault identification generally use a half-car model for algorithm research, and the degree of model simplification For problems that are relatively high and are quite different from the actual situation, reduce the difference between the model and the actual high-speed train in operation, and improve the accuracy of the identification results

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