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Two-Time-Scale Redesign for Antilock Braking Systems of Ground Vehicles

机译:地面车辆防抱死制动系统的二次缩放设计

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An antilock braking system (ABS) is one of the most effective active safety control systems for ground vehicles, since it can keep the rotational wheel from locking and, consequently, guarantee the braking safety and handling stability. There have been a variety of ABS control schemes proposed by many researchers. However, most of the results employ sundry tire-road friction models, the alleged mu - lambda curves (mu is the tire-road friction coefficient, while. is the tire slip ratio, which is mathematically defined as lambda = (v - omega r)/v), making the ABS controller extremely complicated for the highly nonlinear characteristics of the mu - lambda relationship. Furthermore, the a priori knowledge of road conditions for these ABS controllers restricts their practicability. To circumvent these problems, a two-time-scale ABS control scheme is proposed in this paper, without considering the intricate mu - lambda relationship, making the a priori knowledge of the road condition no longer a prerequisite; thus, the designed ABS controller is rather simple. In addition, a modified fast-time-scale estimator is involved to estimate the road condition, which is significant in vehicle active dynamics control. The effectiveness of the proposed ABS controller is verified via numerical simulations and CarSim-MATLAB cosimulations.
机译:防抱死制动系统(ABS)是用于地面车辆的最有效的主动安全控制系统之一,因为它可以防止旋转轮锁定,从而确保制动安全性和操纵稳定性。许多研究人员提出了各种各样的ABS控制方案。但是,大多数结果使用了各种轮胎-道路摩擦模型,即所谓的mu-lambda曲线(mu是轮胎-道路摩擦系数,而。是轮胎滑移率,数学上定义为lambda =(v-omega r )/ v),因为mu-lambda关系的高度非线性特性,使得ABS控制器极其复杂。此外,这些ABS控制器的路况先验知识限制了它们的实用性。为了解决这些问题,本文提出了一种两级ABS控制方案,而无需考虑复杂的μ-λ关系,这使得对路况的先验知识不再是前提。因此,设计的ABS控制器非常简单。此外,还涉及一种改进的快速时标估计器,以估计道路状况,这在车辆主动动态控制中具有重要意义。通过数值仿真和CarSim-MATLAB协同仿真验证了所提出的ABS控制器的有效性。

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