为实现智能汽车安全舒适且高效的超车换道路径,针对双向双车道,提出一种基于双五次多项式和线性时变模型预测控制(Double quintic polynomial-linear time-varying model predictive control,DQP-LMPC)结合的超车换道动态路径规划模型.首先,基于五次多项式进行初次规划并进行改进研究,考虑对向车道来车,建立双五次多项式进行超车换道路径规划;其次,基于车网联的条件下,获取本车道前车和对向车道前车的位置和速度等信息,分析计算换道决策安全区间,保证整个超车换道过程的安全性;最后,基于二自由度车辆模型建立线性时变模型预测控制器对模型进行路径跟踪控制.仿真结果表明,在前方静止障碍物及无对向来车、前方动态障碍物及无对向来车和前方动态障碍物及有对向车道来车三个工况下,使用横向加速度、横摆角速度、侧倾角加速度以及横向纵向间距等为指标进行评价,最终得到的规划算法可以成功地规划出安全高效及舒适的超车换道路径,表明创建的模型具有一定的应用价值.
Dynamic Path Planning of Intelligent Vehicle Overtaking Lane Change Based on DQP-LMPC
In order to realize a safe,comfortable and efficient overtaking lane changing path for intelligent vehicles,a dynamic path planning model for overtaking lane changing is proposed based on the combination of double quintic polynomial and linear time-varying model predictive control for two-way dual lanes.First of all,based on the quintic polynomial for the initial planning and improvement research,considering the coming traffic lane,the establishment of double quintic polynomial for overtaking lane change path planning;Secondly,based on the condition of vehicle network connection,the position and speed information of the vehicle in front of the lane and the vehicle in front of the opposite lane are obtained,and the safety interval of lane changing decision is analyzed and calculated to ensure the safety of the whole process of overtaking and lane changing.Finally,based on the two-degree-of-freedom vehicle model,a linear time-varying model prediction controller is established to control the path tracking of the model.The simulation results show that,under the three working conditions of stationary obstacle in front and non-opposing vehicle,dynamic obstacle in front,non-opposing vehicle and dynamic obstacle in front and incoming vehicle in opposite lane,lateral acceleration,yaw velocity,side angle acceleration and transverse and longitudinal spacing are used as indicators for evaluation.The final planning algorithm can successfully plan the safe,efficient and comfortable path of overtaking and lane changing,which indicates that the model has certain application value.
intelligent drivingpath planningdynamic programmingpassing lane changedouble quintic polynomial
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