基于遗传算法的主动径向转向架动力学优化

Dynamic Optimization of Active Radial Bogie Based on Genetic Algorithm

为提高主动径向转向架的动力学性能,阐述了主动径向的导向原理和控制策略,建立主动径向转向架地铁车辆的联合仿真模型,并利用自适应遗传算法对车辆的稳定性、平稳性和安全性进行多目标多参数的优化设计。研究结果表明:与传统转向架相比,地铁车辆采用主动径向转向架可以显著提升车辆的曲线通过性能,降低轮轨作用力和减小磨耗,优化后车辆各项动力学指标皆可以得到明显改善。

In order to improve the dynamic performance of the active radial bogie,the steering principle and control strategy of active radial bogie were described,the co-simulation model of metro vehicle with active radial bogie was established,and the multi-objective and multi-parameter optimal design of vehicle stability,ride comfort and safety was carried out by adaptive genetic algorithm.The results show that the active radial bogie can significantly upgrade the curve crossing performance,reduce the wheel-rail force and wear in comparison with the traditional bogie,and all the key dynamic indexes of the vehicle can be significantly improved upon optimization.