基于灵敏度分析的发动机悬置系统稳健优化设计

Robust Optimal Design of an Engine Mounting System Based on Sensitivity Analysis

以发动机悬置系统能量解耦为目标,悬置刚度参数为设计变量,考虑目标函数和约束函数对于悬置刚度参数的灵敏度,构造了多目标优化数学模型。采用遗传优化算法对一款发动机悬置系统的悬置刚度参数进行了稳健优化设计,并用Monte Carlo方法进行了分析。结果表明,优化方法可以有效降低系统解耦度对悬置刚度参数的灵敏度,提高了悬置系统设计的实用性。

A muhi-objective optimization model is constructed with energy decoupling of engine mounting system as objective, mounting stiffness parameters as design variables and taking into consideration the sensibilities of objective function and constraint functions to mounting stiffness parameters. A robust optimal design of the stiff- ness parameters of an engine mounting system is performed by using genetic optimization algorithm and analyses are also conducted using Monte Carlo method. The results show that the optimization method can effectively reduce the sensibility of the decoupling degree of system to mounting stiffness parameters and thus enhance the practicability of mounting system design.