摘要
为提高防抱制动系统(ABS)在不平路面上的控制效果,研究ABS在不平路面上的信号特征和路面不平度识别方法。建模仿真可证明从轮加速度信号中识别路面不平度的可行性;对加速度信号的时域频域分析,提出识别路面不平度的'能量比重法'和'穿越计次法';提出基于多级穿越门限、多级不平累加值及自减参数的ABS路面不平度实时识别算法;对基于路面不平度识别的ABS不平路面补偿算法进行初步研究。结果表明,该算法实时性好,能准确识别路面不平度,计算量小,能满足ABS实时控制需要。
For improving the control effect of anti-lock brake system（ABS） on roughness road, the signal characteristic in this instance and the algorithm of recognizing the degree of roughness road for ABS are studied. Modeling and simulation are used to prove that recognizing the roughness degree from wheel acceleration signal is viable. Based on the time-frequency domain analysis, ＂energy specific weight method＂ and ＂account the times crossing method＂ are studied to identify road. Then a real-time algorithm for road roughness feature recognition is designed, which depends on multilevel cross threshold, roughness counter, and so on. Otherwise the compensation algorithm for ABS on roughness road is studied primarily. Experimental results show that this algorithm can recognize roughness degree exactly and rapidly, and can meet the demands for the real-time control of ABS well.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2007年第11期229-234,共6页
Journal of Mechanical Engineering
关键词
汽车防抱制动系统
路面不平度
特征识别
Anti-lock brake system（ABS） Road roughness Feature recognition
