摘要
在汽车操纵稳定性优化控制的研究中,为对车辆施加合适的制动力以实现车辆极限工况下的稳定,研究了汽车操纵稳定性的模糊PID控制方法。基本方法是直接将横摆角速度作为控制变量,在模糊控制的基础上加入传统的PID控制,在大偏差范围内采用模糊控制进行快速响应调整,在小偏差范围内采用常规PID控制。采用7自由度整车模型进行J-转向和换道操纵仿真,仿真结果显示模糊PID控制可以有效地提高汽车行驶时的稳定性。证明设计的控制策略能较好的满足系统的控制要求,并为汽车操纵稳定性控制研究提供有益的参考。
In order to stabilize the vehicle in limited driving conditions, a fuzzy PID control of vehicle handling and stability system is researched. The basic approaches are to directly take the yaw velocity rate as control variables and to introduce the fuzzy control to the traditional PID control. The fuzzy control is used to respond quickly to adjust- ments in the large deviations and the conventional PID control is used for accurate adjustment. A 7 DOF vehicle mod- el is used for simulation of J-turn maneuver and lane change. The simulation results show that the fuzzy PID control can effectively improve the stabilitv of the vehiel~_
出处
《计算机仿真》
CSCD
北大核心
2015年第5期171-176,共6页
Computer Simulation
基金
上海市科委科研基金资助项目(11140502000)
关键词
车辆稳定性
模糊自整定控制
仿真
Vehicle stability
Fuzzy self-tuning control
Simulation
