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首页> 外文期刊>Mechatronics, IEEE/ASME Transactions on >Adaptive Scheme for the Real-Time Estimation of Tire-Road Friction Coefficient and Vehicle Velocity
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Adaptive Scheme for the Real-Time Estimation of Tire-Road Friction Coefficient and Vehicle Velocity

机译：轮胎-道路摩擦系数和车辆速度实时估计的自适应方案

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摘要

It is well known that both the tire-road friction coefficient and the absolute vehicle velocity are crucial factors for vehicle safety control systems. Therefore, numerous efforts have been made to resolve these problems, but none have presented satisfactory results in all cases. In this paper, cost-effective observers are designed based on an adaptive scheme and a recursive least squares algorithm without the addition of extra sensors on a production vehicle or modification of the vehicle control system. This paper has three major contributions. First, the front biased braking characteristics of production vehicles such that the front wheel brake torques are saturated first are exploited when estimating the tire-road friction coefficient. Second, the vehicle absolute speed is identified during the friction coefficient estimation process. Third, unlike the conventional method, this paper proposes using already available excitation signals in production vehicles. In order to verify the performance of the proposed observers, experiments based on real production vehicles are conducted, and the results reveal that the proposed algorithm can enhance the performance of any vehicle dynamics control systems.
机译：众所周知，轮胎-道路摩擦系数和绝对车速都是车辆安全控制系统的关键因素。因此，为解决这些问题已经做出了许多努力，但是在所有情况下都没有令人满意的结果。在本文中，基于自适应方案和递归最小二乘算法设计了经济高效的观察器，而无需在生产车辆上添加额外的传感器或修改车辆控制系统。本文有三个主要贡献。首先，当估计轮胎-道路摩擦系数时，利用了使生产车辆的前偏制​​动特性，使得前轮制动扭矩首先饱和。其次，在摩擦系数估算过程中确定车辆绝对速度。第三，与常规方法不同，本文提出在生产车辆中使用已经可用的激励信号。为了验证所提出的观察者的性能，进行了基于实际生产车辆的实验，结果表明所提出的算法可以增强任何车辆动力学控制系统的性能。

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