The research of an intelligent braking control system

Guiqiu Song, M. Jiang, G. Zhao
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引用次数: 1

Abstract

Applies the self-optimizing control to the control strategy of anti-lock braking system (ABS) and adds the braking pressure feedback to the system. The slipping rate change is thus controlled by way of controlling wheel speed and the double circuit of braking pressure. Simulation results prove that the approach to control is not only simple in algorithm but also able to recognize automatically the road surface change so as to provide the most suitable braking torque that serves the function intellectual braking. The shortcomings of conventional of logical thresholds, which were not based on systematic theories but on empirical trial and could not readjust quickly to respond to the change in road surface, are therefore overcome. The self-optimizing control is importance to improving the braking of various cars to ensure their driving safety
智能制动控制系统的研究
将自优化控制方法应用于防抱死制动系统(ABS)的控制策略中,并在系统中加入制动压力反馈。通过控制车轮速度和制动压力的双回路来控制滑移率的变化。仿真结果表明,该控制方法不仅算法简单,而且能够自动识别路面变化,从而提供最合适的制动力矩,服务于智能制动功能。因此,克服了传统的逻辑阈值的缺点,这些缺点不是基于系统的理论,而是基于经验试验,不能迅速调整以响应路面的变化。自优化控制对于提高各类汽车的制动性能,保证其行车安全具有重要意义
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