2023年(第45卷)第8期汽车工程AutomotiveEngineering2023(Vol.45)No.8车辆队列抗扰抗内切协同路径跟踪控制*边有钢1,2,张田田1,谢和平1,3,秦洪懋1,2,杨泽宇1,2(1.湖南大学机械与运载工程学院,汽车车身先进设计制造国家重点实验室,长沙410082;2.湖南大学无锡智能控制研究院,无锡214115;3.徐州徐工矿业机械有限公司,徐州210009)[摘要]本文研究过弯场景下车辆队列的抗扰抗内切协同路径跟踪控制方法。首先,基于前车直接跟随式方案,采用圆弧曲线跟踪路径代替一般直线跟踪路径,构建车辆队列过弯抗内切策略,以降低车辆队列过弯时的整体跟踪误差;其次,设计卡尔曼滤波器和龙伯格观测器,以解决跟随车位置状态噪声及航向状态噪声或不易量测的问题;然后,设计协同路径跟踪控制器,并基于李雅普诺夫稳定性理论导出系统稳定的充分条件,指导控制器参数设计;最后,通过数值仿真和实车试验验证控制器设计的可行性和有效性。关键词:智能网联汽车;路径跟踪控制;协同控制;抗扰控制Anti-disturbanceandAnti-corner-cuttingControlforCollaborativePathTrackingofVehiclePlatoonBianYougang1,2,ZhangTiantian1,XieHeping1,3,QinHongmao1,2&YangZeyu1,21.CollegeofMechanicalandVehicleEngineering,HunanUniversity,StateKeyLaboratoryofAdvancedDesignandManufacturingforVehicleBody,Changsha410082;2.WuxiIntelligentControlResearchInstituteofHunanUniversity,Wuxi214115;3.XuzhouXCMGMiningMachineryCo.,Ltd.,Xuzhou210009[Abstract]Theanti-disturbanceandanti-corner-cuttingcollaborativepathtrackingcontrolmethodforavehicleplatoonundertheturningscenarioisstudiedinthispaper.Firstly,basedonthepredecessor-followingtopol‐ogyscheme,aplatoonturninganti-corner-cuttingstrategyisconstructedbyusingcircular-arccurvetrackingpathtoreplacethegeneralstraight-linetrackingpath,alleviatingtheoveralltrackingerrorofthevehicleplatoonduringturning.Secondly,aKalmanfilterandaLuenbergerobserveraredesignedtoaddresstheproblemofpositionnoiseandheadingnoiseofthefollowingvehicleordifficultmeasurement.Then,acollaborativepathtrackingcontrollerisdesigned.ByusingtheLyapunovstabilitytheory,sufficientconditionsforsystemstabilityarederivedforcontrollerparameterdesign.Finally,thef...