摘要
针对以往汽车防抱死制动系统的控制性能不稳定、响应速度慢、控制精度低等问题,传统的逻辑门限控制算法以及单一的模糊控制算法和PID控制算法难以满足系统的要求,因此采用模糊控制算法与PID控制算法相结合的控制方法设计了一种基于滑移率的ABS控制器,并设计了路面识别系统,使汽车能够在不同的路面上自动选择最佳滑移率。利用Matlab/Simulink进行仿真,并与PID控制进行对比。仿真结果表明,模糊PID控制算法在响应速度、稳定性以及控制精度上都优于PID控制算法。
Due to instable control performances, slow responses and the low control precision of Anti - lock Braking System, the traditional logic threshold control algorithm, fuzzy control algorithm and PID control algorithm cannot meet the requirements of system. So based on slip ratio, an Anti - lock Braking System controller was designed by combining fuzzy control algorithm and PID control algorithm. And the road recognition system was designed, which can choose the best slip ratio on different road. Based on Matlab/Simulink, the simulations demonstrate that the Anti - lock Braking System controller of fuzzy - PID control algorithm is better in the response, stability and accuracy, comparied with PID control algorithm.
作者
凌滨
宋梦实
邢键
赵永辉
LING Bin, SONG Meng - shi, XING Jian, ZHAO Yong - hui(College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin Heilongjiang 150040, China)
出处
《计算机仿真》
北大核心
2018年第10期166-170,192,共6页
Computer Simulation
基金
国家自然科学基金项目(61405045)
关键词
防抱死制动系统
路面识别
模糊控制
Anti - lock braking system
Road recognition
Fuzzy control
