噪声与振动控制Issue(5)：77-81,5.DOI:10.3969/j.issn.1006-1335.2015.05.016
基于遗传算法汽车动力总成悬置系统解耦优化
Decoupling Optimization of an Automotive Powertrain Mount System Based on Genetic Algorithm
摘要
Abstract
To avoid the local optimal solution of the automotive powertrain system by traditional optimization algorithm, the system was optimized by genetic algorithm. The principles of the selection of design variables, the extraction of constraint functions and the selection of the objective functions were deeply analyzed. On this basis, taking the stiffness parameters of the mounting system as the design variables, the scope and the interval of natural frequency as the constraint function, and the decoupling rate of the 6 degrees-of-freedom as the objective function, the powertrain mounting system was optimized by genetic algorithm using MATLAB. The optimization system for powertrain mounting system decoupling of automobiles was developed based on the genetic algorithm. As an example, the powertrain mounting system of a vehicle was optimized. The results show that the distribution of the natural frequency and decoupling rate of the system are greatly improved, and the efficiency and accuracy are greatly raised.关键词
振动与波/动力总成/悬置系统/遗传算法/优化/MATLABKey words
vibration and wave/powertrain/mounting system/genetic algorithm/optimization/MATLAB分类
交通工程引用本文复制引用
伍建伟,刘夫云,李峤,周洪威,李应弟..基于遗传算法汽车动力总成悬置系统解耦优化[J].噪声与振动控制,2015,(5):77-81,5.基金项目
国家自然科学基金项目（51265006）；广西科技开发项目（桂科攻1348005-11）；柳州市科技开发项目（2013H020401）；桂林电子科技大学研究生教育创新计划资助项目(GDYCSZ201442) （GDYCSZ201442）
