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。
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 CO_CO 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.
出处
《机械》
2014年第10期29-32,共4页
Machinery
关键词
地铁车辆
调簧
优化
模拟退火算法
metro vehicles
spring adjustment
optimization
simulated annealing algorithm
