汽车ABS模糊参数自整定PID控制方法的仿真研究  

Simulation Research on Fuzzy Parameter Self-tuning PID Control Method for Automobile ABS

作　　者：张凤[1] 罗映红[2] 

机构地区：[1]天津铁道职业技术学院铁道动力系,天津300240 [2]兰州交通大学自动化与电气工程学院,甘肃兰州730070

出　　处：《自动化仪表》2012年第8期55-57,60,共4页Process Automation Instrumentation

摘　　要：防抱死制动系统(ABS)是汽车安全系统的重要组成部分,对行驶路面状况进行实时准确的自动识别和提高ABS控制算法的鲁棒性具有重大意义。通过仿真分析,提出了一种简单有效的路面识别算法,并设计了以最优滑移率为控制目标的模糊PID控制器。结合车辆模型,对该系统在变附着系数路面的运行情况进行了仿真。结果表明,该系统能够及时判断出路面状况的变化,自动调节控制器参数,使车辆获得最大地面制动力。Anti-lock breaking system （ABS） is one of the vital components of automobile security system. It is of great significance to recognize road conditions in real time accurately and automatically, and to increase the robustness of ABS control algorithm. Through simulation analysis, an easy and effective road recognition algorithm is proposed, and the fuzzy PID controller with optimal slip ratio as the control goal is designed. Combining with the vehicle model, the simulation is conducted on the road with varying adhesion coefficient. The results show that the system recognizes the change of the road conditions promptly and adjust the control parameters automatically to make the vehicle get maximum surface brake force.

关 键 词：防抱死制动系统(ABS) 滑移率 路面识别 模糊PID控制 仿真 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]