基于附着系数的车辆EPS模糊灰预测控制研究  

Research on EPS Fuzzy Grey Predictive Control of Vehicles Based on Adhesion Coefficient

作　　者：袁传义[1] 张焱[1] 刘成晔[1] YUAN Chuan-yi;ZHANG Yan;LIU Cheng-ye(Jiangsu University of Technology,Changzhou 213001,China)

机构地区：[1]江苏理工学院,常州213001

出　　处：《微特电机》2018年第10期89-92,共4页Small & Special Electrical Machines

摘　　要：为了对电动助力转向系统实时控制,应用灰色系统预测理论对系统行为的发展进行预测,结合模糊逻辑控制理论,设计了一种基于路面带双调整因子的EPS模糊灰预测控制系统,根据助力电流的变化自适应调整预测步长。基于Car Sim建立了整车动力学模型,基于MATLAB建立了机械式转向系统和电机等模型,通过联合仿真,经过模糊灰预测控制后的EPS,高附着系数路面上横摆角速度的标准差从4. 564(°)/s下降到2. 596(°)/s,提高操纵轻便性的同时,大大缩短了横摆角速度调整的稳定时间,较好协调了不同附着系数路面车辆转向行驶时的操纵性和安全性。To realize the red-time control of electric power steering system,grey system prediction theory was used to predict the development of system behavior,and fuzzy logic control theory was used to design an EPS fuzzy-grey predictive control system based on road with double adjustment factor.According to the difference of assist current,fuzzy reasoning was used to achieve self-adaptive adjustment of the step length.The vehicle EPS dynamic model was established based on CarSim,and the mechanical steering system and motor were established based on MATLAB.Through the joint simulation,when running on the road with high adhesion coefficient,the standard deviation of the yaw rate on a high adhesion coefficient road surface decreases from 4.564(°)/s to 2.596(°)/s.The easiness of vehicle control was improved,and the settling time of the yaw angle speed adjustment was shortened greatly,the vehicles maneuverability and safety was coordinated while steering on different adhesion coefficient road.

关 键 词：路面附着系数 电动助力转向 模糊灰预测 助力特性曲线 操纵性 

分 类 号：TM301.2[电气工程—电机]