基于灰Fuzzy控制算法的车辆悬架与转向综合控制

Integrated Control of Vehicle Suspension and Steering System Based on Grey-fuzzy Control Algorithm

建立了垂向、侧向、俯仰及横摆运动的4自由度集成车辆模型,对汽车悬架和转向系统的协调综合控制进行了研究,为了改善传统模糊控制器(TFC)的性能,在灰预测算法的基础上提出了灰模糊控制器用于估计系统下一时刻的输出量;为了提高集成车辆在不平路面激励下的稳定性以及垂向振动特性、俯仰特性等,提出了集成灰模糊控制方法(IGFC),并进行了计算机仿真,结果表明集成灰模糊控制方法的控制效果要优于传统的模糊控制系统以及被动系统。

The four degrees of freedom integrated vehicle model was developed, and then the integrated control of suspension and steering system was researched. To enhance the performance of Traditional Fuzzy Controller （TFC）, a grey-fuzzy controller based on the grey prediction algorithm that used to estimate the next-step output of system was proposed. In addition, an Integrated Grey-Fuzzy Control （IGFC） approach was proposed to improve the performance, and the stability of the integrated vehicle system under uneven road disturbance. Based on the proposed methodology, the simulation results show that the performance of the IGFC is superior to that of passive control and TFC.