论文标题
在总体多层自动化车辆转向控制中集成车辆滑移和偏航,以在准确性,优雅和安全性下平衡路径
Integrating Vehicle Slip and Yaw in Overarching Multi-Tiered Automated Vehicle Steering Control to Balance Path Following Accuracy, Gracefulness, and Safety
论文作者
论文摘要
由于这些要求的竞争性质,尤其是在一系列的运行速度和条件下,在转向控制中的准确性和误差融合与优美运动的平衡路径与优美的运动具有挑战性。本文表明,考虑滑移对运动学控制,动态控制和转向执行器速率命令的影响的集成多层转向控制器可实现准确且优美的路径。这项工作建立在多层侧滑和基于YAW的模型上,该模型允许衍生出考虑由于侧滑而引起的误差以及转向命令之间的映射和优美的侧向运动的映射。基于观察者的侧滑估计与运动控制器中的标题误差相结合,以提供前馈滑移补偿。使用基于速度的路径歧管,通过连续变量结构控制器(VSC)来补偿路径以下误差,以平衡优雅的运动和误差收敛。后台动态控制器使用结果偏航率命令来生成转向速率命令。高增益观察者(HGO)估计输出反馈控制的侧滑和偏航速率。提供了输出反馈控制器的稳定性分析,并解决了峰值。该工作专注于侧向控制,因此转向控制器可以与其他速度控制器结合使用。现场结果提供了与相关方法的比较,这些方法在不同的复杂情况下证明了具有不同天气条件和扰动的不同复杂情况。
Balancing path following accuracy and error convergence with graceful motion in steering control is challenging due to the competing nature of these requirements, especially across a range of operating speeds and conditions. This paper demonstrates that an integrated multi-tiered steering controller considering the impact of slip on kinematic control, dynamic control, and steering actuator rate commands achieves accurate and graceful path following. This work is founded on multi-tiered sideslip and yaw-based models, which allow derivation of controllers considering error due to sideslip and the mapping between steering commands and graceful lateral motion. Observer based sideslip estimates are combined with heading error in the kinematic controller to provide feedforward slip compensation. Path following error is compensated by a continuous Variable Structure Controller (VSC) using speed-based path manifolds to balance graceful motion and error convergence. Resulting yaw rate commands are used by a backstepping dynamic controller to generate steering rate commands. A High Gain Observer (HGO) estimates sideslip and yaw rate for output feedback control. Stability analysis of the output feedback controller is provided, and peaking is resolved. The work focuses on lateral control alone so that the steering controller can be combined with other speed controllers. Field results provide comparisons to related approaches demonstrating gracefulness and accuracy in different complex scenarios with varied weather conditions and perturbations.