车辆半主动悬架粒子群模糊混合控制策略  

PSO-fuzzy-hybrid Control Strategy of Semi-active Suspensions

作　　者：严天一[1] 闫海敬[1] 侯兆萌[1] 王玉林[1] 张鲁邹[1] 陈焕明[1] 

机构地区：[1]青岛大学机电工程学院,青岛266071

出　　处：《农业机械学报》2013年第8期1-7,73,共8页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家自然科学基金资助项目(50905090);山东省优秀中青年科学家科研奖励基金资助项目(BS2010ZZ002)

摘　　要：在Matlab中建立4自由度1/2半主动悬架车辆模型后,构建模糊混合控制器,利用粒子群优化算法对模糊混合控制器的隶属度函数和模糊控制规则同时进行优化,开发了粒子群模糊混合控制策略。为了有效验证所提出的控制策略,在搭建的车辆半主动悬架系统控制策略硬件在环仿真试验平台上进行了粒子群模糊混合控制策略的半实物仿真试验。硬件在环仿真试验结果表明,粒子群模糊混合控制策略明显优于传统模糊控制策略,能有效地提高半主动悬架系统的综合性能,并且在不同路面输入激励下均能取得较好的控制效果。A half-car model of semi-active suspension systems with 4-DOF was designed in Matlab,and a fuzzy hybrid controller was built.Then,the membership functions and rule of fuzzy hybrid control strategy were optimized by particle swarm optimization（PSO）.In order to verify the proposed control strategy,a series of experiments of PSO-fuzzy-hybrid control strategy on the platform of hardware-in-theloop were carried out.It showed that compared with traditional fuzzy control strategy,PSO-fuzzy-hybrid control strategy enhanced the overall performance of the semi-active suspension system effectively,and obtained better control performance in all different road input excitations.

关 键 词：车辆 半主动悬架 粒子群优化 模糊混合控制 硬件在环 

分 类 号：U463.33[机械工程—车辆工程]