基于蒙特卡罗法的轨迹再现转向机构稳健性设计

对于转向梯形机构,以转向过程的运动精度为目标函数,以主销中心距、轴距、转向梯形底角和转向梯形臂长度四个参数作为设计变量,以最小传动角及最大角度误差作为约束,建立了基于响应面方法的稳健设计数学模型. 应用具有正态分布参数的蒙特卡罗稳健设计方法,对汽车转向机构进行了优化设计. 比较了确定性优化方法与蒙特卡罗方法的设计结果. 在转向角度误差相差不大的情况下,应用蒙特卡罗方法设计的转向机构最小传动角大,系统的传递性能及运动性能好,并且当设计变量出现微小变化时,能有效保证转向系统的运动轨迹.

Robust design for locus generating steering mechanism based on Monte Carlo method

A robust mathematical design model based on the response surface method was established for steering trapezoid mechanism. In the model, movement precision during steering course was chosen as the objective function; kingpins distance, axles distance, trapezoid mechanism's bottom angle and steering arm length were defined as the design variables; minimum transmission angle and maximum angle error were considered as the restraint condition. Steering mechanism of a truck was optimum designed by adopting the method of Monte Carlo optimization design with distribution parameters. The results of fixed optimization design and Monte Carlo optimization design were compared. It is shown that the minimum transmitted angle derived from the Monte Carlo optimization design method is larger and the system has well transmitted performance and steering performance while the difference of steering error is small, furthermore movement precision is assured when design variables are little varied.