汽车SBC模糊控制状态分析与仿真研究

Analysis and Simulation of Fuzzy Control State for SBC of an Automobile

模糊控制状态表对于汽车电子感应制动系统(SBC)的模糊控制性能具有重要作用。本文根据汽车电子感应制动系统模糊控制输入参数变化状态及详细分析制动力系数与滑移率变化趋势,确定了汽车SBC模糊控制状态表数据。仿真研究结果表明,使用该方法确定汽车SBC模糊控制状态表的数据是有效和正确的,方法具有实用性和简单易行,表中数据准确,能够节约获得汽车SBC模糊控制状态表中数据的成本,研制出实用的SBC模糊控制器。

The fuzzy control state table plays an important role in fuzzy control performance for the sensotronic brake control system （SBC） of an automobile. In this paper, the table data of SBC fuzzy control state are determined by the change state of fuzzy controller input parameters and detailed analysis of braking force coefficient and the varying trend of slip. The simulation results show that using this method to determine the table data of SBC fuzzy control state is valid and correct. The method is practical and simple. The data＇in the table is accurate. And the cost to get the table data of SBC fuzzy control state is reduced, which benefits the development of a cheap SBC fuzzy controller.