Bogie suspension parameter rapid optimization method
An optimization method and bogie technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as the impact of train operation safety, and achieve the effect of improving the design and analysis capabilities of bogie suspension parameters.
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- Publication Date
- 2019-06-21
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Abstract
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 snaking motion is one of the most concerned issues in the design of wheel-rail train bogies. The primary and secondary suspensions of the bogies, especially the suspension parameters in the horizontal direction, play an important role in improving the lateral stability of the train bogie and taking into account other performances of the train. to the key role. Reasonable suspension parameter matching is conducive to improving the lateral stability of the train and resisting the influence of suspension parameters and wheel-rail contact parameters on system stability (called system robustness). Therefore, the research on the optimization of bogie suspension parameter matching is very important for train design.
[0003] For complex train suspension systems, except for the secondary horizon...
Examples
Embodiment Construction
[0033] The present invention will be further described below in conjunction with accompanying drawing:
[0034] First, establish a vehicle dynamics simulation model according to the structural parameters of the high-speed train;
[0035] Second, according to the constructed vehicle dynamics simulation model, the optimization analysis of the suspension parameters is carried out, and the input variables, value ranges and output evaluation indicators required by the model are determined. Among them, the input variables are the suspension parameters that need to be optimized, and the output evaluation indicators are The optimization target, the value range is determined according to the existing suspension parameter values;
[0036] Third, through the SIMPACK script language, the vehicle dynamics model simulation and MATLAB are used to establish a joint simulation module, and the multi-objective optimization algorithm NSGA-II algorithm is used to set the population size n, crossover...