基于容差模型的发动机悬置系统稳健优化设计

Robust Optimal Design of Engine Mounting System Based on Tolerance Model

应用稳健优化设计理论,考虑设计变量的不确定性对结果的影响,建立稳健优化模型。以发动机悬置系统能量解耦为目标,用Pareto遗传算法对系统的刚度参数进行稳健优化,并将优化结果运用Monte Carlo方法进行分析.结果表明,优化方法可以有效提高悬置系统的稳健性。

Considering the influence of the uncertainty of design variable on the results, the robust optimization design theory is used to build robust model. Pareto Genetic Algorithms is adopted to optimize the stiffness of mounting of engi neer mounting system which takes the decoupling of energy distribution as a target, and the Monte Carlo method is used to analyze the optimized results. The results show that the method can improve the robustness of mounting system.