基于最小二乘自适应极值求法的车辆安全控制系统滑移率优化

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Pub Date : 2020-10-11 DOI:10.1109/SMC42975.2020.9283109

Nursefa Zengin, Halit Zengin, B. Fidan, A. Khajepour

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引用次数: 2

摘要

轮胎-路面摩擦系数是车辆安全控制系统中的一个重要参数。特别是，减速时的防抱死制动系统(ABS)和加速时的牵引控制系统(TCS)需要摩擦信息。作用在轮胎上的力的特性有一个极值，它取决于路况。本文提出了一种基于递推最小二乘(RLS)的求极值算法，用于在线估计产生最大减速/加速度的最佳滑移比。给出了在Matlab和CarSim环境下的仿真研究结果，以说明所开发算法的有效性，并与基于梯度的估计进行了数值比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Slip Ratio Optimization in Vehicle Safety Control Systems Using Least-Squares Based Adaptive Extremum Seeking

Tire-road friction coefficient is an essential parameter in vehicle safety control systems. In particular, friction information is required by antilock braking systems (ABS) during deceleration and by traction control systems (TCS) during acceleration. The characteristic of the force acting on the tires has an extremum, which is dependent in the road condition. This paper develops a recursive least squares (RLS) based extremum seeking algorithm that estimates the optimum slip ratio on-line to produce maximum deceleration/acceleration. Results of simulation studies in both Matlab and CarSim environments are presented to illustrate the effectiveness of the developed algorithm and numerically compare with gradient based estimation.

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2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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