关键词: 驾驶模拟器；路感模拟；CAN 通信；NARX 神经网络

Abstract: Aiming at the problem that the steering system of the driving simulator lacks road sense feedback compared with the real vehicle, this paper designs a road sense model based on NARX neural network, and realizes the description of the friction dynamic characteristics of the steering system and the simulation of road sense. First, a driver in the loop data acquisition platform is built based on dSPACE and Carsim to realize the Controller Area Network (CAN) communication configuration of the driving simulator. Real time data of real drivers are collected, and the original data is filtered to complete the construction of NARX road sense model. Finally, the simulink/carsim joint simulation test is carried out on the road sense model. The test results show that the road sense model can effectively realize the road sense simulation function.

Key words: Driving simulator; Road sensing simulation; CAN communication; NARX neural network