弹道
控制理论(社会学)
反向动力学
计算机科学
运动学
机器人
运动规划
串联机械手
MATLAB语言
插值(计算机图形学)
控制工程
加速度
并联机械手
工程类
人工智能
运动(物理)
控制(管理)
操作系统
经典力学
物理
天文
作者
Xing Zhang,Hao Kou,Yi Zhang,Kaina Jan,Boris Ivanovic
出处
期刊:Journal of physics
[IOP Publishing]
日期:2021-03-01
卷期号:1802 (2): 022067-022067
被引量:4
标识
DOI:10.1088/1742-6596/1802/2/022067
摘要
Abstract In view of the lack of automation of the current material handling measures, based on a brief introduction to the structure of the handling robot, this article mainly studies the trajectory planning and control of the manipulator. First, the basic structure of the manipulator is simplified, the joint coordinate system of the robot arm is established by the Denavit-Hartenberg (D-H) method, and then the kinematics forward and inverse solution model is obtained by analysis. The fifth-order polynomial interpolation algorithm is used to plan the space trajectory of the rotating joint, and Matlab is applied to perform modeling and simulation to verify the rationality of the robot structure design and obtain the motion trajectory and each rotation of the mechanical claw end in the space rectangular coordinate system. Experiments on the motion curve, velocity curve and acceleration curve of the joint are implemented. Finally, the manipulator is controlled by the single-chip microcomputer, and the theoretical model data and trajectory are practiced. Practical results show that the control after trajectory planning reduces the loss of the manipulator and the overall accuracy and stability are higher.
科研通智能强力驱动
Strongly Powered by AbleSci AI