基于模糊自适应的汽车ABS路面辨识技术

实时有效辨识路面对防抱死制动系统(ABS)的制动安全性具有重要意义。分析了车辆制动特性，提出了 一种用轮速峰值连线求解参考车速的方法。为了有效辨别制动时的路面信息，在设计基于轮减速度和参考滑移率 的模糊智能推理算法的基础上，给出了用仿人智能思想来在线修改模糊控制参数的自适应推理算法。车的实时 (ABS)道路测试表明，模糊自适应路面辨识技术具有良好的制动平稳性和自适应性，提高了辨识路面突变的实时性， 简单实用，是一种新的有效ABS路面辨识法。

Road automatic identification of automobile ABS via fuzzy adaptive method

The real-time and effective road automatic identification is important for the braking security of anti-lock braking system (ABS). In this paper, the brake characteristics are analyzed; a new method that uses variational wheel velocity peak values to calculate vehicle reference velocity is proposed. Based on designing the fuzzy intelligent reasoning algorithms with the inputs of wheel deceleration and reference slip ratio, an adaptive reasoning method is studied, which can online adjust quantization factor and scale factor of fuzzy control by human simulation intelligent parameter modifying idea. Road test results show that compared to traditional logic gate algorithm, the fuzzy adaptive algorithm is an effective new ABS road automatic identification method that has better braking stability and adaptiviness, which improves the response ability.