基于遗传模拟退火算法的汽车动力总成悬置系统优化设

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振动与冲击 ›› 2014, Vol. 33 ›› Issue (23) : 155-159.

论文

基于遗传模拟退火算法的汽车动力总成悬置系统优化设

严小俊1，2，蒋伟康1，曹诚2

作者信息 +

VIBRATION ISOLATION OPTIMIZATION OF A POWERTRAIN MOUNTING SYSTEM BASED ON SIMULATED ANNEALING AND GENETIC ALGORITHM

YAN Xiao-jun 1 Jiang Wei-Kang 2 CAO Cheng 2

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文章历史 +

摘要

针对某轿车在发动机低速工况下，动力总成悬置系统隔振效果不足，以悬置系统的固有频率配置和系统的解耦率为综合优化目标，应用遗传模拟退火算法对悬置刚度参数进行了优化设计，优化后的悬置系统固有频率配置更加合理，主要方向的解耦率增大。整车试验结果表明，优化后的悬置系统隔振效果满足了设计要求。

Abstract

According to vibration isolation effect of one vehicle powertrain mounting system is insufficient, set natural frequency and decouple rate of mounting system as integrated optimum objective，and used simulated annealing and genetic algorithm (SAGA) to optimize the mounting rates. The optimized results show better natural frequency distribution and higher decouple rate in the major vibration direction. The vehicle vibration isolation test results show the optimized mounting system meet the design requirement.

导出引用

严小俊;蒋伟康;曹诚. 基于遗传模拟退火算法的汽车动力总成悬置系统优化设[J]. 振动与冲击, 2014, 33(23): 155-159

YAN Xiao-jun Jiang Wei-Kang CAO Cheng . VIBRATION ISOLATION OPTIMIZATION OF A POWERTRAIN MOUNTING SYSTEM BASED ON SIMULATED ANNEALING AND GENETIC ALGORITHM[J]. Journal of Vibration and Shock, 2014, 33(23): 155-159