摘要
提出了基于神经网络的自适应模糊控制策略。模糊控制主要用来对付系统的非线性 ;神经网络根据振动响应的方差递推结果来辨识车体的振动情况实时调节模糊控制器的量化因子 ,使模糊控制器对路面的变化具有自适应的能力。在半主动悬挂 1/ 4车非线性模型的基础上进行了仿真研究。
A neural-network based adaptive fuzzy control strategy for vehicle semi-active suspension is presented in this paper.The fuzzy control is used to cope with the nonlinearity of the system,while the neuralnetwork is employed to identify the vibration behavior of the vehicle according to the variance recursion result of vibration response and to change the scaling factors of fuzzy controller in order to make the controller to be adapted to a variety of roads.The proposed control method is proved effective through the simulation experiment based on a nonlinear quarter model for semi-active suspension.
出处
《汽车工程》
EI
CSCD
北大核心
2003年第6期586-590,共5页
Automotive Engineering
