摘要
动力总成作为工程机械的主要激励源,其悬置系统的设计水平直接影响到整机的隔振性能。以能量解耦率为目标函数的动力总成悬置系统优化设计是一个具有多个局部最优解的问题,因此需要运用全局搜索能量强的遗传算法进行求解。与采用传统优化算法相比,遗传算法可以求得全局最优解,并且可以设计出各自由度方向上均具有较高解耦率的方案。
Powertrain is one of the main sources of construction machinery vibration. The design of powertrain mounting system has a direct influence on vehicle NVH performance. Taking the ener- gy distribution target as an object function, optimization of powertrain mounting system has many lo- cal optimal solutions. Genetic algorithm is thus adopted in optimal design, because it has a capabili- ty of global search. Compared to conventional optimization methods, genetic algorithm could obtain a globally optimal solution. Application to some practical design shows that genetic algorithm can be used to decouple the powetrain mounting system effectively.
出处
《内燃机与动力装置》
2015年第1期5-9,共5页
Internal Combustion Engine & Powerplant
关键词
动力总成悬置系统
解耦
遗传算法
序列二次规划算法
Powertrain Mounting System
Decouple
Genetic Algorithm
Sequential QuadraticProgramming
