基于变传动比的线控转向前轮转角控制

Control for Front Wheel Angle of Steer-By-Wire based on Intelligent Variable Steering Ratio

提出一种基于混合智能变传动比技术的前轮转角控制算法;分析了车辆转向性能和转向稳定性的影响因素,利用模糊神经网络设计以控制车辆转向性能为重点的传动比控制器,利用直线拟合方法设计以转向稳定性为重点的传动比控制器,然后应用模糊软切换技术对两传动比进行切换融合,最终得出兼顾转向性能和转向稳定性的恰当总传动比;利用该传动比直接控制前轮转角,并将控制策略进行仿真实验;实验结果表明总传动比不仅在数值范围和曲线形状上更接近理想传动比,而且将对应的峰值速度控制在110km/h左右,优于其他两个分传动比的控制效果;用该传动比控制的整车稳定性和前轮路径跟踪能力较好,可见整个控制策略的有效性。

This paper presents a hybrid--intelligent based variable road--wheel steering ratio control algorithm. The factors that could impact the performance and stability of the steer--by--wire system are analyzed at first, the fuzzy neural network based steering ratio con- troller is designed to control the steering performance of the vehicle as a key point, and the linear fitting based steering ratio controller is de- signed to control the steering stability as another key point, then the fuzzy soft--switch approach is utilized to switch the two controllers ac- cording to the vehicle state, eventually, the proper steering ratio that meets the performance and stability is obtained. The proper steering ra- tio is utilized to control the front wheel angel directly, and the control strategy is brought into the model for simulation experiment, simula- tion results show that the proposed control strategy is effective and feasible.