A Method for Optimal Matching of Bogie Suspension Parameters

Abstract

The invention provides a bogie suspension parameter optimization matching method, which relates to the technical field of suspension parameter optimization design of rolling stock. Establish vehicle dynamics simulation model; carry out suspension parameter matching optimization analysis, determine the input variables and their value ranges required by the model, output evaluation indicators and their threshold settings, and establish a joint simulation module between vehicle dynamics model simulation and MATLAB, According to the optimization goal, the eigenvalue simulation calculation of the vehicle dynamics model is carried out, and the optimization goal value obtained by the simulation is extracted through the co-simulation interface; the required suspension parameter group is obtained from a large number of random parameters by layer-by-layer screening, Finally, the method of discrete statistics is used to process the optimization result data, combining the three-dimensional histogram to mine the matching relationship between the suspension parameters, and according to the actual needs, select the specific value of the matching combination of suspension parameters that meet the requirements and the corresponding optimization target value .

Description

technical field

[0001] The invention relates to the technical field of optimization design of suspension parameters of rolling stock. Background technique

[0002] The stability of lateral meandering motion is one of the most concerned issues in the design of wheel-rail train bogies. The first and second series suspensions of the bogie, especially the suspension parameters in the horizontal direction, can improve the lateral stability of the train bogie and take into account other performances of the train. to a key role. Reasonable matching of suspension parameters is beneficial to improve the lateral stability of the train and resist the influence of the perturbation of suspension parameters and wheel-rail contact parameters on the stability of the system (called system robustness). Therefore, the research on optimization of bogie suspension parameter matching is very important for train design.

[0003] For a complex train suspension system, in addition to the horizonta...

Examples

Embodiment Construction

[0032] The present invention will be further described below in conjunction with the accompanying drawings:

[0033] Step 1. Carry out the optimization analysis of suspension parameters according to the vehicle dynamics model, and determine the input variables and their value ranges, output evaluation indicators and their threshold settings required by the model. The threshold settings are shown in Table 1. Through the SIMPACK script language, the vehicle The dynamic model simulation and MATLAB establish a co-simulation module, and uniformly obtain N groups of random parameters for the input variables through MATLAB, and N is 50000;

[0034] Table 1 Threshold settings for four optimization objectives

[0035]

[0036] Step 2: Assign the called random parameters to the vehicle dynamics model, and perform a low-taper stability simulation on the model at a speed of 200km / h, and extract the stability index ζ through the SIMPACK and MATLAB co-simulation interface low ;

[0037...

technical field

[0001] The invention relates to the technical field of optimization design of suspension parameters of rolling stock. Background technique

[0002] The stability of lateral meandering motion is one of the most concerned issues in the design of wheel-rail train bogies. The first and second series suspensions of the bogie, especially the suspension parameters in the horizontal direction, can improve the lateral stability of the train bogie and take into account other performances of the train. to a key role. Reasonable matching of suspension parameters is beneficial to improve the lateral stability of the train and resist the influence of the perturbation of suspension parameters and wheel-rail contact parameters on the stability of the system (called system robustness). Therefore, the research on optimization of bogie suspension parameter matching is very important for train design.

[0003] For a complex train suspension system, in addition to the horizonta...

Examples

Embodiment Construction

[0032] The present invention will be further described below in conjunction with the accompanying drawings:

[0033] Step 1. Carry out the optimization analysis of suspension parameters according to the vehicle dynamics model, and determine the input variables and their value ranges, output evaluation indicators and their threshold settings required by the model. The threshold settings are shown in Table 1. Through the SIMPACK script language, the vehicle The dynamic model simulation and MATLAB establish a co-simulation module, and uniformly obtain N groups of random parameters for the input variables through MATLAB, and N is 50000;

[0034] Table 1 Threshold settings for four optimization objectives

[0035]

[0036] Step 2: Assign the called random parameters to the vehicle dynamics model, and perform a low-taper stability simulation on the model at a speed of 200km / h, and extract the stability index ζ through the SIMPACK and MATLAB co-simulation interface low ;

[0037...

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