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基于SA⁃GA混合算法的动车组车辆轮重分配优化 被引量:3

Optimization of Wheel Weight Distribution for EMU Vehicles Based on the SA⁃GA Hybrid Algorithm
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摘要 针对动车组车辆出厂前存在的轮重偏差问题,建立动车组车辆轮重调节力学模型,利用模拟退火算法(SA)的机制和遗传算法(GA)非均匀变异思想,提出了一种模拟退火遗传(SA⁃GA)混合算法,并利用该混合算法对车辆轮重调节力学模型进行数值求解,结果显示:轮重偏差降低到1.2%以下,符合GB/T 3317—2006的规定.同时使用SIMPACK软件仿真,将该仿真结果与数值计算结果对比分析,结果显示:基于SA⁃GA混合算法的计算结果是正确的,这为快速优化轮重分配结果提供了一种有效的计算方法. Aimed at the wheel weight deviation of EMU vehicles before leaving the factory,a mechanical model for wheel weight adjustment was established.An SA⁃GA hybrid algorithm proposed with the mechanism of the simulated annealing(SA)algorithm and the non⁃uniform mutation idea of the genetic algorithm(GA),and the mechanical model for vehicle wheel weight adjustment was numerically solved with this hybrid algorithm.The results show that,the wheel weight deviation can be reduced to less than 1.2%,which conforms to the regula⁃tions of GB/T 3317—2006.At the same time,the simulation results were compared with the numerical calcula⁃tion results from the SIMPACK software.The comparison shows that,the calculation results based on the SAGA hybrid algorithm are correct,and the work provides an effective calculation method for quickly optimizing the wheel weight distribution.
作者 孟建军 孟高阳 李德仓 MENG Jianjun;MENG Gaoyang;LI Decang(Mechatronics T&R Institute,Lanzhou Jiaotong University,Lanzhou 730070,P.R.China;Gansu Provincial Engineering Technology Center for Informatization of Logistics&Transport Equipment,Lanzhou 730070,P.R.China;Gansu Provincial Industry Technology Center of Logistics&Transport Equipment,Lanzhou 730070,P.R.China)
出处 《应用数学和力学》 CSCD 北大核心 2021年第4期363-372,共10页 Applied Mathematics and Mechanics
基金 国家自然科学基金(61563027)。
关键词 动车组车辆 轮重偏差 力学模型 混合算法 软件仿真 EMU vehicle wheel weight deviation mechanical model hybrid algorithm software simulation
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