Application of multi-variable grey model in the integrated control of vehicle SAS and EPS

In order to eliminate the time lag in the integrated control of SAS and EPS, MGM(l,n) model was introduced into the integrated control system to predict the output performance index. It was compared with GM(1,1). In the MGM(l,n) model the mutual influences among the output performance were considered which can improve the prediction accuracy. The control strategy of the integrated controller was adjusted in real-time based on the predictive value. The simulation results show that, the predictive value of MGM(1,n) model is closer to the measured value, the integrated control of SAS and EPS system based on MGM(1,n) model can eliminate the time lag in effect and improve the vehicle handing performance.