Method for establishing dynamics real-time model of rail transit vehicle

Abstract

The invention discloses a method for establishing a dynamics real-time model of a rail transit vehicle. The method comprises the steps of: establishing a whole vehicle dynamics model and a wheel rail model by using VI-Rail; carrying out discrete dynamics analysis on the whole vehicle dynamics model and the wheel rail model by using the VI-Rail; recognizing and extracting parameters in dynamics analysis results; generating a parameter property interpolation table according to the parameters; and establishing the real-time wheel rail model and the whole vehicle dynamics model in MATLAB (Matrix Laboratory) or Simulink by using the parameter property interpolation table. According to the method disclosed by the invention, the established model can simultaneously meet the requirements on simulation precision and model simulation instantaneity.

Description

technical field [0001] The invention relates to the technical field of building a dynamic real-time model, and more specifically, relates to a method for building a real-time dynamic model of a rail transit vehicle. Background technique [0002] The dynamic model of a rail transit vehicle includes two parts: a wheel-rail dynamics model and a vehicle dynamics model. The physical model mainly describes the bogie system on the upper part of the wheel and rail and the dynamic characteristics of the body part. [0003] At present, the development of the dynamic model of rail transit vehicles is to use mathematical methods to establish the dynamic equations of the rail transit vehicle system, and combine the characteristics of the dynamic equations to establish a model solver to solve the dynamic equations to obtain the motion state of each component of the rail transit vehicle system (Nodal forces, nodal accelerations, nodal velocities, and component displacements). At present,...

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Problems solved by technology

[0006] However, in the first method mentioned above, since professional modeling and solving tools are used to carry out the work, the flexibility of model establishment is poor; although professional tools have high modeling and solving accuracy, the solving speed is slow, which cannot satisfy the real-time simulation of hardware in environmental control. The requirements of fixed step size simulation cannot be realized, and the solution convergence time is uncertain

In the second method mentioned above, since the modeling adopts a step-by-step modeling method from components to systems, it is difficult to model when the model scale is relatively large, and although the calculation speed of the model can be relatively fast, the accuracy of the calculation results is not enough

[0007] To sum up, using the existing two methods to establish a real-time model of rail transit to carry out the development and hardware-in-the-loop test of related controllers in the rail transit industry has very large limitations. One is that it cannot meet the real-time requirements, and the other is The reason is that the accuracy is not high enough, the modeling is complicated, and it is difficult for engineers and technicians to master it. Therefore, it seriously restricts the development of hardware-in-the-loop testing in the development process of controllers in the rail transit industry.

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