基于模糊规则的路面附着识别算法研究

Road friction identification algorithm based on fuzzy rules

为了提高双通道主动式稳定杆(ASB)系统对车辆横摆稳定的控制性能,基于车辆的侧向动力学特性,提出了1种新型路面附着系数识别算法。先通过模糊规则识别非线性因子,再由估算模型计算路面附着系数的初始估计值。通过滤波处理算法处理后得到最终估计值,并将其应用于双通道ASB系统中。利用MATLAB/Simulink对该算法进行了高、中、低附着路面以及对接路面的仿真分析。仿真结果表明,该算法能够有效地识别路面状况,双通道ASB系统根据当前的路面信息及时调整控制策略,提高了车辆的横摆稳定性。

A novel identification algorithm for road friction coefficient is proposed based on vehicle lateral dynamics to improve the control performance of 2-channel active stabilizer bar （ ASB ） system for the yaw stability of vehicles. The nonlinear factor is calculated by fuzzy rules,and the initial value of road friction coefficient is generated by the estimation model. The final estimation value of road friction coefficient is processed using a filter process algorithm and adopted by 2- channel ASB . The algorithm is simulated on high-friction, middle-friction, low-friction road and split road using MATLAB/Simulink. Simulation results show that the algorithm can identify road friction condition ef-fectively. Two-channel ASB can adjust control algorithms according to the road condition, and the yaw stability of vehicles is improved.