摘要
车辆横向稳定性一般是由车辆的结构来保证的,但车辆在较大侧向力作用下将丧失横向稳定性.通过建立车辆转向运动的简化模型,利用前馈补偿和模糊控制策略,将前轮转向角视为前馈输入变量来补偿转向角引起的车辆侧偏角变化;通过左右车轮制动力差产生附加力矩来控制车辆的横摆运动,同时以车辆横摆角速度为反馈输入变量来校正消除系统误差,设计了车辆模糊控制器,并对控制系统在不同车速下进行了仿真分析.仿真结果表明,施加控制的车辆与无控制的相比,横摆角速度与侧偏角的输出稳态值减小,超调量降低,改善了车辆的横向稳定性.特别在高速情况下,车辆横向稳定性改善更加明显.
Generally, vehicle yaw stability is determined by its structure, but the vehicle will suffer from the loss of yaw stability under a great lateral force. In this paper, a vehicle simple model is set up using feed-forward regulation and fuzzy control strategy, the front steering angle is regarded as an input to suppress causing varies of side slip angle by actively controlling the distribution of braking forces, and creating the moment that is necessary to counteract the undesired yaw motion. A feedback compensator is designed to suppress output error, and a fuzzy controller is designed, a simulation is performed at different vehicle speed. The results showe that compared with uncontrolled vehicle the presented controller achieve good steady response of side slip angle and yaw rate, and improve handling stability of vehicle, especially an evident response can be achieved at a high speed.
出处
《长沙理工大学学报（自然科学版）》
CAS
2007年第2期49-53,共5页
Journal of Changsha University of Science and Technology:Natural Science
基金
湖南省自然科学基金资助项目(04jj40062)
湖南省教育厅科研重点资助项目(03A005)
关键词
车辆
横向稳定性
模糊控制
仿真
vehicle
yaw stability
fuzzy control
simulation
