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遗传算法在五连杆悬架优化中的应用 被引量:6

Application of Genetic Algorithm in Five-Linkage Suspension Optimization
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摘要 针对五连杆悬架的特点,运用多体系统动力学的理论建立了悬架的运动学分析模型,基于遗传算法开发了优化器的核心单元,并解决了它们之间的通讯和协调问题。以实现在车轮上下跳动过程中车轮外倾角的运动学特性变化量与目标值之间的偏差最小作为优化设计的目标,说明了遗传算法在五连杆悬架优化中的应用。应用这种优化体系对某型轿车五连杆悬架进行了实例优化分析。 Based on the features of five-linkage suspension,the kinematical analysis model of the suspension is created with the MB system dynamics theory,and the kernel unit of the optimizer is developed based on the genetic algo-rithm,and communication and coordination between them are solved.With minimizing the variance between the change value of wheel camber during jounce and rebound and the target value,the application of the genetic algorithm in five-linkage suspension optimiaxtion is introduced.The optimization system is applied to the optimization and analysis of the five-linkage suspension of a car.
作者 陈潇凯 林逸
机构地区 北京理工大学
出处 《汽车技术》 北大核心 2004年第12期5-8,共4页 Automobile Technology
关键词 悬架 运动学 模型 遗传算法 Suspension,Kinematics,Model,Genetic algorithm
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参考文献3

  • 1Simionescu P A et al. Synthesis and Analysis of the Five-Link Rear Suspension System Used in Automobiles. Mechanism and Machine Theory, 2002,37
  • 2Baumal et al. Application of Genetic Algorithms to the Design Optimization of an Active Vehicle Suspension System. Computer Methods in Applied Mechanics and Engineering, 1998,163
  • 3Renner G et al. Enetic Algorithms in Computer Aided Design.Computer-Aided Design, 2003,35

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