摘要
提出将神经网络自适应控制策略用于变阻尼汽车半主动悬架的控制,通过仿真研究表明变阻尼半主动悬架能较好地改善车辆行驶的平顺性,且不使汽车的操纵稳定性恶化,证明了该控制策略用于变阻尼汽车半主动悬架控制是可行的和有效的.
The self-adaptive neural network control strategy is employed to the semi-active suspension system. The simulation research shows that semi-active suspension system can improve the ride comfort and the manipulation stability, and that the variable-damper semi-active suspension self-adaptive neural network control is applicable and effective.
出处
《华东交通大学学报》
2007年第1期112-116,共5页
Journal of East China Jiaotong University
基金
江西省自然科学基金资助项目(0350062)
关键词
悬架
神经网络
变阻尼
suspension
neural network
variable-damper
