基于自适应模糊神经网络的主动转向控制技术

Vehicle Active Steering Control Based on Adaptive Fuzzy Neural Network

针对汽车线控主动转向控制,文章研究了基于自适应模糊神经网络控制的主动转向控制方法。基于横摆角速度反馈的主动转向控制策略,应用Matlab软件设计了自适应模糊神经网络控制器,决策出附加转角对前轮转角进行修正。在Carsim与Matlab/Simulink搭建的线控转向汽车模型上,选取典型工况对控制方法进行了验证。结果表明:基于自适应模糊神经网络控制的主动转向控制方法相对于模糊控制、无控制提高了车辆行驶的稳定性。

Aimed at the vehicle steering-by-wire active steering control system, Adaptive Fuzzy Neural Network control for active steering is studied in this paper. Adaptive Fuzzy Neural Network controller is designed by Matlab for the active steering control based on yaw rate feedback strategy, and the front wheel angle is corrected by the additional angle. The model of the steering-by-wire system is built by Carsim and Matlab/Simulink, and the typical conditions are selected to verify the control method. The results show that active steering control based on Adaptive Fuzzy Neural Network enhances the vehicle stability better compared to the fuzzy control and no control.