An Optimized Algorithm for Advanced Vehicle Anti-lock Braking System

摘要：

　　In Anti-lock Braking System (ABS),the traditional method controlled the brake force with logical way and PID,it can not control ABS based on information of road condition,the speed of wheel and the speed of vehicle,it braked with a long distance and was dangerous.So,a optimized algorithm for advanced vehicle Anti-lock Braking System is proposed,gathering information on speed of vehicle,speed of wheel and road condition together to count real-time slip ratio,with Fuzzy Neural Network (FNN),the brake force of four wheels was controlled differently according to the different condition of wheel with slip ratio.The experiment showed that compare with normal algorithm,the stop distance became 20% shorter with this optimized algorithm and the algorithm is very stable.

关键词： Anti-lock Braking System Real time slip-ratio Fuzzy Neural Network

作者: Zeng Xianheng GAO Yun

作者单位: Department of Automotive Engineering, Henan Polytechnic, Zhengzhou Henan 450046, China

会议类型: 国际会议

会议名称: 2013 3rd International Symposium on Chemical Engineering and Material Properties(2013第三届化学工程和材料性能国际研讨会)(ISCEMP 2013)

会议地点: 三亚

会议语种:英文

页码: 266-269

在线出版日期: 2013-06-22（万方平台首次上网日期，不代表论文的发表时间）