摘要
建立了七自由度的汽车主动悬架数学模型,并就该模型的模糊控制方法进行了研究.以模拟路面的正弦信号作为输入,以汽车车身的垂直加速度、俯仰角和侧倾角,以及悬架的变形作为输出.模糊控制规则采用调整因子,以使设计的模糊控制系统具有更好的灵敏性和鲁棒性.用Matlab语言及其Simulink工具箱仿真,结果表明,设计的主动悬架与被动悬架比较,其舒适性和操纵稳定性得到改善,且模糊控制器具有良好的鲁棒性.
A 7-degree-of-freedoms (7 DOFs) model of the automotive active suspension was built, and a fuzzy control system for the model was studied. The input of the model was a step function which simulated the road, and the outputs were the vertical acceleration, the angles of pitch and roll, and the suspension deformation. The control regular of adjustable factor was used for improving the sensitivity and robustness. The control system was numerically simulated in Matlab and Simulink.The simulation results show that the active suspension is superior to the passive suspension in improving the ride comfortability and maneuverability, and the fuzzy control system has a good robust stability.
出处
《湖南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2003年第6期56-59,共4页
Journal of Hunan University:Natural Sciences
关键词
汽车
主动悬架
模糊控制系统
数值仿真
automobile
active suspension
fuzzy control system
numerical simulation
