基于遗传算法的半主动悬架模糊PID控制研究  

A Research on the Fuzzy PID Control for Vehicle Semi-active Suspension Based on Genetic Algorithm

作　　者：曾洁如[1] 谷正气[1] 李伟平[1] 梁小波 彭国谱 

机构地区：[1]湖南大学,汽车车身先进设计制造国家重点实验室,长沙410082 [2]湘电重型装备股份有限公司,湘潭411100

出　　处：《汽车工程》2010年第5期429-433,共5页Automotive Engineering

基　　金：国家863计划项目(2007AA04Z122);湖南省科技计划重点项目(06FJ2001);湖南大学汽车车身先进设计制造国家重点实验室开放基金(30815005);教育部长江学者与创新团队发展计划(531105050037)项目资助

摘　　要：为进一步满足汽车乘坐舒适性的要求,设计了一种半主动悬架的模糊PID控制器,并利用遗传算法来优化模糊控制器的量化因子和PID整定公式的比例因子,通过模糊推理方法求解PID参数的调整系数,以实现半主动悬架控制。对某轿车整车动力学模型进行仿真分析的结果表明:该模糊PID控制能有效提高车辆的乘坐舒适性和操纵稳定性。For further meeting the requirements of vehicle ride comfort,a fuzzy PID controller for semi-active suspension is designed and the genetic algorithm is used to optimize the quantified factors of the fuzzy controller and the three proportional factors of PID.The adjusting coefficients of PID parameters are calculated with fuzzy reasoning method to realize the control of semi-active suspension.The results of simulation on a car dynamic model demonstrate that the fuzzy PID control can effectively improve the ride comfort and handling stability of vehicle.

关 键 词：半主动悬架 遗传算法 模糊PID控制 乘坐舒适性 

分 类 号：U463.33[机械工程—车辆工程]