首页|Study Data from Guizhou Normal University Update Understanding of Robotics (An I dentical Path Tracking Control Strategy of the Tractor-trailer Wheeled Mobile Ro bot With an Off-axle Hitching Based On a Passive Steering Angle)
Study Data from Guizhou Normal University Update Understanding of Robotics (An I dentical Path Tracking Control Strategy of the Tractor-trailer Wheeled Mobile Ro bot With an Off-axle Hitching Based On a Passive Steering Angle)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Robotics are presented i n a new report. According to news reporting originating from Guiyang,People's R epublic of China,by NewsRx correspondents,research stated,"For a tractor-trai ler wheeled mobile robot (TTWMR,for short) with an off-axle hitching,it is cha llenging for both tractor and trailer to track a desired path due to the insuffi cient steering capability of the trailer. As such,a passive steering angle is f irst introduced,which allows the trailer to follow the same path as the leading tractor." Financial supporters for this research include National Natural Science Foundati on of China (NSFC),Guizhou Provincial Science and Technology Projects,China. Our news editors obtained a quote from the research from Guizhou Normal Universi ty,"In this way,a given motion task can be reduced to the accurate path tracin g problem for the tractor. By considering such a passive steering angle,the mot ion speed relation between two vehicles of the TTWMR with an off-axle hitching i s then derived,based on which its kinematics and dynamics equations are establi shed. Thereafter,a proportion integration feedback controller is then developed by combining the curvature tracing method and the directed Lyapunov method,so that both vehicles can move along an identical path." According to the news editors,the research concluded: "Finally,simulation resu lts indicate the effectiveness and robustness of the resulting control strategy. "
GuiyangPeople's Republic of ChinaAsi aEmerging TechnologiesMachine LearningRobotRoboticsGuizhou Normal Univ ersity
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