Trajectory planning and control for SCARA manipulator of tea picking robot
Wang Lin,Guan Shengxiao
(School of Information Science and Technology,University of Science and Technology of China,Hefei 230026,China)
Abstract: Considering the whole performance of a tea picking robot,this paper uses the SCARA manipulator as its picking mechanism to meet the needs of picking famous tea automatically.Firstly,the DH method is used to establish the kinematics model of the manipulator,and its spatial model is established by using MATLAB Robotic Toolbox.Secondly,the fifthorder polynomial interpolation algorithm is used to plan the trajectories of main joints of the manipulator.Finally,the SCARA manipulator is simplified to a twojoint manipulator in XOY plane.Combining its general dynamics model,this paper uses Sfunction in MATLAB/Simulink to design a PD control system based on adaptive algorithm compensation,and performs trajectory tracking simulation experiments.The experimental results show that the adaptive robust PD control strategy can accurately track the control inputs of the manipulator′s boom and forearm joints,so that each joint can quickly track to the desired position.The tracking error is small.
Key words : tea picking robot;SCARA manipulator;kinematics modelling;trajectory planning;trajectory tracking control