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Railway vehicle suspension system parameter estimation method based on improved particle filtering algorithm

A particle filter algorithm, rail vehicle technology, applied in computing, electrical digital data processing, special data processing applications, etc.

Inactive Publication Date: 2013-09-18
SHANGHAI UNIV OF ENG SCI
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Problems solved by technology

The signal analysis method relies more on the statistical results of massive state monitoring data for the judgment of fault characteristics and trend analysis, and needs to arrange a large number of sensors on rail vehicles, which has certain limitations.

Method used

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  • Railway vehicle suspension system parameter estimation method based on improved particle filtering algorithm
  • Railway vehicle suspension system parameter estimation method based on improved particle filtering algorithm
  • Railway vehicle suspension system parameter estimation method based on improved particle filtering algorithm

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Embodiment

[0030] Such as figure 1 As shown, a method for estimating the parameters of the rail vehicle suspension system based on the improved particle filter algorithm includes the following steps:

[0031] (1) establish the rail vehicle dynamics model of Simpack software;

[0032] (2) Acceleration sensors, displacement sensors, gyroscopes and other motion information acquisition devices are set at the corresponding positions of the car body and bogie of the dynamic model to collect the simulated motion information of the vehicle;

[0033] (3) Obtain simulated observation values ​​of vehicle bogie and vehicle body motion information, including displacement, velocity, acceleration, angular acceleration, etc.;

[0034] (4) Establish the vertical and lateral dynamic models of the rail vehicle system, and further establish the vertical and lateral dynamic space models of the rail vehicle system from the vertical and lateral dynamic models;

[0035] (5) According to the obtained simulated...

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Abstract

The invention relates to a railway vehicle suspension system parameter estimation method based on an improved particle filtering algorithm. The method comprises the following steps: (1), a kinetic model of a railway vehicle is built in many-body dynamics software; (2), motion information acquisition equipment is arranged in corresponding positions of a vehicle body and a bogie of the kinetic model, and simulated motion information of the vehicle is acquired; (3), the simulated observed value of the motion information of the vehicle is acquired; (4), vertical and horizontal kinetic models of a railway vehicle system are built, and vertical and horizontal dynamic space models of the railway vehicle system are further built; and (5), according to the simulated observed value obtained, through the combination with the improved particle filtering algorithm, the system parameter and the system unknown parameter matrix are estimated at the same time. Compared with the prior art, a uniform resampling strategy is introduced, so that the tradition method needing to rely on the statistical result of the mass state monitoring data is broken through, and the problem that the change of the parameters of the suspension system cannot be monitored in a real-time manner due to unscented particle filter is solved.

Description

technical field [0001] The invention relates to a method for estimating parameters, in particular to a method for estimating parameters of a rail vehicle suspension system based on an improved particle filter algorithm. Background technique [0002] The state of the suspension system directly affects the safety, stability and comfort of rail vehicles. Online monitoring technology is an important means to judge the safety status of the suspension system of rail vehicles during operation, and currently mainly relies on signal analysis methods. The signal analysis method relies more on the statistical results of massive state monitoring data for the judgment of fault characteristics and trend analysis, and needs to arrange a large number of sensors on rail vehicles, which has certain limitations. Parameter estimation is a brand-new vehicle state monitoring method proposed in recent years. In practical application, the estimated value of the required parameters can be obtained ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 方宇李晓斌金子博李宝明张国富
Owner SHANGHAI UNIV OF ENG SCI
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