哈尔滨工程大学学报
哈爾濱工程大學學報
합이빈공정대학학보
Journal of Harbin Engineering University
2015年
10期
1361-1364,1403
,共5页
王健%赵又群%杨君%钟兵%臧利国
王健%趙又群%楊君%鐘兵%臧利國
왕건%조우군%양군%종병%장리국
避让工况%路径跟踪%线性自抗扰控制%Carsim联合仿真
避讓工況%路徑跟蹤%線性自抗擾控製%Carsim聯閤倣真
피양공황%로경근종%선성자항우공제%Carsim연합방진
collision avoidance%path planning%linear active disturbance rejection control%Carsim co-simulation
针对高速紧急避让工况,进行车辆路径跟踪鲁棒性研究. 利用二自由度车辆模型,以控制车辆实际横摆角速度跟踪规划的理想横摆角速度为目标,设计线性自抗扰路径跟踪控制器. 线性自抗扰控制器能够将车辆质量、整车转动惯量和轮胎侧偏刚度变化等模型参数变化观测出来并且补偿掉,保证系统鲁棒性. 针对避让路径存在侧向加速度过大或产生阶跃、曲率不连续问题,引入Sigmoid函数对避让路径进行再规划. 为了验证控制器的鲁棒性,利用Carsim提供的某款SUV进行实车仿真验证. 仿真结果表明:线性自抗扰路径跟踪控制器能够控制车辆跟踪理想避让路径,保证车辆快速、无碰撞地避让前方障碍物.
針對高速緊急避讓工況,進行車輛路徑跟蹤魯棒性研究. 利用二自由度車輛模型,以控製車輛實際橫襬角速度跟蹤規劃的理想橫襬角速度為目標,設計線性自抗擾路徑跟蹤控製器. 線性自抗擾控製器能夠將車輛質量、整車轉動慣量和輪胎側偏剛度變化等模型參數變化觀測齣來併且補償掉,保證繫統魯棒性. 針對避讓路徑存在側嚮加速度過大或產生階躍、麯率不連續問題,引入Sigmoid函數對避讓路徑進行再規劃. 為瞭驗證控製器的魯棒性,利用Carsim提供的某款SUV進行實車倣真驗證. 倣真結果錶明:線性自抗擾路徑跟蹤控製器能夠控製車輛跟蹤理想避讓路徑,保證車輛快速、無踫撞地避讓前方障礙物.
침대고속긴급피양공황,진행차량로경근종로봉성연구. 이용이자유도차량모형,이공제차량실제횡파각속도근종규화적이상횡파각속도위목표,설계선성자항우로경근종공제기. 선성자항우공제기능구장차량질량、정차전동관량화륜태측편강도변화등모형삼수변화관측출래병차보상도,보증계통로봉성. 침대피양로경존재측향가속도과대혹산생계약、곡솔불련속문제,인입Sigmoid함수대피양로경진행재규화. 위료험증공제기적로봉성,이용Carsim제공적모관SUV진행실차방진험증. 방진결과표명:선성자항우로경근종공제기능구공제차량근종이상피양로경,보증차량쾌속、무팽당지피양전방장애물.
Considering the high speed emergency avoidance situations, the robustness of vehicle path planning was studied in this paper. In order to control the actual vehicle′s yawing angular velocity versus tracking the ideal ya-wing angular velocity, the linear active disturbance rejection path planning controller was designed using the two degrees of freedom vehicle model. The linear active disturbance rejection controllers ( LADRC) can estimate and compensate for the model parameter variation caused by the changes in moment of inertia of a vehicle, the whole vehicle mass and tire cornering stiffness, so as to guarantee the system robustness. The traditional evasive collision avoidance path suffers serious problems such as high lateral acceleration, phase step, and discontinuous curvature, so the Sigmoid function is used to replan the evasive path. In order to test the robustness of the controller, a real SUV was modeled using Carsim software. The simulation results show that the proposed path tracking controller can control the vehicle tracking the ideal collision avoidance path rapidly without collisions.