摘要
论文以单轮车辆模型为研究对象,在Matlab/Simulink的环境下建立了整车数学模型、双线性轮胎模型、液压制动系统模型和滑移率计算模型,设计了自适应模糊PID控制器,对所建立的汽车ABS数学模型进行仿真研究,得出仿真曲线。结果表明,建立的ABS数学模型可靠,设计的自适应模糊PID控制算法能够实时地对参数进行调节,其制动性能优于传统PID控制器,有效缩短制动距离并改善制动时的方向稳定性,具有实际的应用价值。
The single wheel vehicle model is adopted as a research object in the paper. Mathematical models for an entire car, a bilinear tire model, a hydraulic brake model and a slip ratio calculation model are established in the Matlab/Simulink environment. And adaptive Fuzzy PID controller is designed. The established ABS mathematical model is simulated and researched and the simulation curves are obtained. The results show that established models are reliable and the designed adaptive Fuzzy PID control is able to adjust the parameters in real time. The braking performance is superior to the traditional PID controller. It can shorten braking distance and improve the direction stability effectively, it has a practical application value.
出处
《自动化技术与应用》
2016年第1期26-31,37,共7页
Techniques of Automation and Applications
基金
江苏省高等学校大学生实践创新训练计划项目资助(201413655005Y)
