基于改进遗传算法的主动悬架最优控制研究

  • 打印
  • 收藏
收藏成功


打开文本图片集

摘 要:提出了遗传-粒子群优化算法对主动悬架的控制规则进行了优化。利用Matlab/Simulink 对主动悬架系统进行了仿真,并与传统的被动悬架进行了性能比较和分析,仿真结果表明基于改进遗传算法的主动悬架最优控制能够有效提高车辆的平顺性和操纵稳定性。

关键词:LQR 主动悬架 改进遗传算法 优化设计

Abstract:A genetic-particle swarm optimization algorithm was proposed to optimize the control rules of the active suspension.Simulation study on the air suspension systems is carried out using Matlab/Simulink, and compared with traditional passive suspension in the performance comparison and analysis. Simulation results show that optimal control of the active suspension based on improved genetic algorithm can effectively improve vehicle ride comfort and handling stability.

Key words:Linear Quadratic Regulator ; active suspension; improved genetic algorithm; optimal design

悬架是指连接车身和车轮间的一切传力连接设备和装置的总称,它把车体和车轴连接起来,使他们之间具有一定的弹性[1]。(剩余4402字)

目录
monitor