半主动悬架参数优化的遗传算法设计  

Genetic Algorithm Design for Parameter Optimization of Semi-active Suspension

作　　者：徐安 高志彬 Xu An;Gao Zhi-bin(Mechanical&automotive Engineering College,QingDao University of Technology,Shandong QingDao 266520)

机构地区：[1]青岛理工大学机械与汽车工程学院,山东青岛266520

出　　处：《内燃机与配件》2024年第23期5-8,共4页Internal Combustion Engine & Parts

摘　　要：针对不同车速下半主动悬架性能最优的刚度阻尼值数据缺乏问题,对一种同时优化半主动悬架刚度和阻尼的遗传算法进行设计。算法以评价指标功率谱密度幅频特性最大值加权和作为适应度函数,在不同车速范围内对悬架的刚度和阻尼参数进行优化,并得到对车身加速度与轮胎动载荷表现有不同侧重的半主动悬架刚度与阻尼匹配最优解,结果表明遗传算法的解能够使评价指标功率谱密度函数幅频特性始终维持在较低值,为不同车速下半主动悬架的性能优化提供了最优的刚度与阻尼数据。There is a lack of data on the stiffness and damping values for the optimal performance of semi-active suspension in different vehicle speeds.taking the semi-active suspension with adjustable stiffness and adjustable damping as the research object,a genetic algorithm to optimize the stiffness and damping of the semi-active suspension at the same time has been proposed.The algorithm uses the weighted sum of the maximum values of the evaluation index power spectral density amplitude frequency characteristics as the fitness function,optimizes the stiffness and damping parameters of the suspension in different speed,and the optimal solution of matching stiffness and damping of semi-active suspension with different emphasis on body acceleration and tire dynamic load performance is obtained.The results show that the solution of genetic algorithm can keep the amplitude and frequency characteristics of the power spectral density function of the evaluation index at a low value.It provides the optimal stiffness and damping data for the performance optimization of semi-active suspension under different vehicle speeds.

关 键 词：路面不平度 半主动悬架优化 遗传算法 

分 类 号：U463.33[机械工程—车辆工程]