R obust Optimization of the Power-train Mounting System of a Big Mini Passenger Car
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摘要: 采用ISIGHT软件对某大微客动力总成悬置系统进行解耦优化。建立了悬置系统6自由度模型,以悬置系统6自由度解耦率最大为优化目标,各悬置的刚度、位置参数为设计变量,建立了悬置系统鲁棒优化模型。采用一阶泰勒级数展开方法计算目标函数和约束条件的统计特性,组合修正可行性方法和混合整数最适法算法求解6σ鲁棒优化问题。将优化解视为具有正态分布的随机变量,应用蒙特卡洛法对悬置系统进行鲁棒性分析,验证了鲁棒优化结果更加稳定。Abstract: In this paper, the ISIGHT software is used to decouple and optimize the power-train mounting system (PMS) of a big mini passenger car, and a six-degrees of freedom (DOF) rigid body model of the PMS is established. The robust optimization model of the PMS is presented aiming at maximizing the decoupling ratios of the PMS, and the stiffness and the position parameters of each mount are selected as design variables. The statistic properties of the optimization objective and constraints are calculated using the first order Taylor series expansion. The robust optimiza-tion model is solved by combining the modified feasible direction and mixed integer optimization algorithms. Monte Carlo simulation is conducted to perform robustness analysis of the PMS by regarding the optimal variables as normal distribution random ones. The simulation results verify the robustness of the optimization results.
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Key words:
- automobiles /
- Taylor series /
- calculations /
- computer simulation
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