The invention discloses a driving style classification and identification method and a man-machine sharing steering control method. The method comprises the following steps: constructing a driving scene based on a PreScan-Simulink-Rogou G29 component and acquiring parameters representing driving styles; clustering characteristic parameters are acquired, and driving style clustering is carried out by using a KHM algorithm; a driving style identification method based on a BP neural network; a human-vehicle-road system model is established, and an LMI/H-infinity control method is used for torque sharing control. According to drivers with different driving styles, the authority of the controller is optimized by adopting a particle swarm optimization algorithm. The method aims to reduce the steering load of a driver, and improves the driving experience of various driving styles by performing personalized design on the man-machine interaction permissions of different driving styles.
本发明公开一种驾驶风格分类识别方法及人机共享转向控制方法,包括如下步骤:基于PreScan‑Simulink‑罗技G29组件的驾驶场景搭建以及表征驾驶风格参数的采集;聚类特征参数获取并利用KHM算法进行驾驶风格聚类;基于BP神经网络的驾驶风格辨识方法;建立了人‑车‑路系统模型,并利用LMI/H∞控制方法进行力矩共享控制。根据不同驾驶风格驾驶员,采用了粒子群优化算法对控制器权限进行了优化。本发明旨在减小驾驶员转向负荷的同时,通过对不同驾驶风格的人机交互权限进行个性化设计,提升各类驾驶风格的驾驶体验。
Driving style classification and recognition method and man-machine sharing steering control method
一种驾驶风格分类识别方法及人机共享转向控制方法
2024-10-11
Patent
Electronic Resource
Chinese
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