基于模拟退火算法的地铁车辆调簧优化算法设计
高久淳，林建辉
（西南交通大学 牵引动力国家重点实验室，四川 成都 610031）
摘要：为优化地铁车辆弹性支撑点载荷分布，减小其轮（轴）重偏差，保证其动力学性能，通过建立轴式C0_C0的地铁车辆的一系弹簧力学模型和数学优化模型，设计了一种基于模拟退火算法的调簧算法。经对国产某型地铁车辆优化计算和验证，该算法优化效果明显，平均耗时较短。同时，这种方法的克服了遗传算法等智能算法易陷于局部最优的缺陷，能稳健地收敛于全局最优解。该算法较快的搜索速度使得调簧试验的实时性大幅提高，更加适合现场操作。
关键词：地铁车辆；调簧；优化；模拟退火算法
中图分类号：O224 文献标志码：A doi：10.3969/j.issn.1006-0316.2014.10.007
文章编号：1006－0316 (2014) 10－0029－04
Optimization method of spring adjustment model based on simulated annealing algorithm for metro vehicles
GAO Jiu-chun，LIN Jian-hui
( Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu 610031, China )
Abstract：To optimize the load distribution of the primary springs for metro vehicles, reduce the wheel (axle) weight bias, and ensure the dynamic performance, the mechanical and mathematical models of the primary springs of C0_C0 metro vehicles were bulit, and a spring adjustment algorithm based on simulated annealing algorithm were designed. After the actual calculations for a certain domestic type of metro vehicles, the effect of optimization has been improved and the average computation time reduced. In addition, this method overcomes the defects of trapping in local optimum, and can easily converge to the global optimal solution. The faster search speed of this method brings a substantial increase in real-time and a stronger adaptability for spring adjustment test.
Key words：metro vehicles；spring adjustment；optimization；simulated annealing algorithm
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收稿日期：2014－04－18
作者简介：高久淳（1988－），男，内蒙古集宁人，硕士研究生，主要研究方向为铁道车辆调簧理论及设备开发。林建辉（1964－），男，福建莆田人，教授，主要研究方向为高速列车检测、测试信号分析。
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