摘要
在给出了转向系统正逆动力学定义的基础上,设计了基于模糊神经网络的PD控制器,建立了转向系统的多体动力学模型和整车的转向模型,进行了汽车转向动力学的仿真研究:设计并研制了电动助力转向系统的试验台,进行了相关的试验研究。仿真和试验的结果都表明:建立的动力学模型是合理的,提出的控制策略能提高汽车的转向轻便性和灵敏性。
After the definitions of steering system dynamics and inverse dynamics are given, the fuzzy-neuro-net based PD-controller is designed. With the multi-body dynamics model of steering system and the vehicle steering model established, the dynamics simulation of vehicle steering is carried out. Related experiment is performed on the taste table we designed. Both the simulation and experimental results show that the dynamics model is correct and control strategy put forward can improve the portability and sensitiveness of vehicle steering system.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2005年第6期108-112,共5页
Journal of Mechanical Engineering
基金
国家自然科学基金(50275045)安徽省'十五'攻关(01012015)资助项目。
