汽车智能制动系统自寻优控制与仿真

采用-μS自寻优控制方法,应用于汽车防抱死制动系统(ABS)的控制策略,并在制动系统中增加制动压力反馈,通过轮速与制动压力双环路控制,达到控制滑移率变化的作用.仿真实验证明:该方法不仅算法简单,而且能够自动识别路面变化,给出最适宜的制动力矩,具有了智能刹车的功能.克服了目前所采用的无系统理论依据确定各门限值的逻辑门限控制方法的缺点,传统方法的逻辑门限值通过经验性的试凑方法确定,且不能随路面的变化而作迅速的调整.因此,μ-S自寻优控制方法,对于提高车辆的制动稳定性,改善汽车的行驶安全性具有重要意义.

Self-Optimizing Control of Car's Intellectual Braking System and Simulation

Applies the self-optimizing control to the control strategy of ABS braking system 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 torgue 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 error and couldn't 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.