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Extremum-Seeking Control of ABS Braking in Road Vehicles With Lateral Force Improvement

机译:改善侧向力的道路车辆ABS制动的极值控制

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摘要

An ABS control algorithm based on extremum seeking is presented in this brief. The optimum slip ratio between the tire patch and the road is searched online without having to estimate road friction conditions. This is achieved by adapting the extremum-seeking algorithm as a self-optimization routine that seeks the peak point of the tire force–slip curve. As an additional novelty, the proposed algorithm incorporates driver steering input into the optimization procedure to determine the operating region of the tires on the “tire force”—“slip ratio” characteristic–curve. The algorithm operates the tires near the peak point of the force–slip curve during straight line braking. When the driver demands lateral motion in addition to braking, the operating regions of the tires are modified automatically, for improving the lateral stability of the vehicle by increasing the tire lateral forces. A validated, full vehicle model is presented and used in a simulation study to demonstrate the effectiveness of the proposed approach. Simulation results show the benefits of the proposed ABS controller.
机译:简要介绍了一种基于极值搜索的ABS控制算法。在线搜索轮胎补丁与道路之间的最佳滑移率,而无需估算道路摩擦条件。这是通过将极值搜索算法作为一种自动优化例程来实现的,该例程会寻找轮胎力-滑移曲线的峰值。作为一个额外的新颖性,所提出的算法将驾驶员转向输入纳入优化过程中,以根据“轮胎力”-“滑移率”特性曲线确定轮胎的工作区域。该算法在直线制动期间在力-滑移曲线的峰值点附近操作轮胎。当驾驶员除了制动之外还要求横向运动时,轮胎的工作区域会自动更改,以通过增加轮胎横向力来提高车辆的横向稳定性。提出了经过验证的完整车辆模型,并将其用于仿真研究中,以证明所提出方法的有效性。仿真结果表明了所提出的ABS控制器的好处。

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