Author:
Gao Xuying,Liang Geng,Pei Wei,Feng Xiangyu
Abstract
The most important point for the manipulator to run quickly and efficiently is that we must explore the trajectory tracking control technology, so we need to master the end trajectory operation law. This topic is mainly to analyze the structural characteristics and working principle of the manipulator, create the control law of the end node system model of the workspace, calculate the actual joint torque, and conduct Kinematics analysis of the end trajectory of the manipulator, Finally, MATLAB simulation was used to verify the designed controller. Studying trajectory tracking control technology will have a positive impact on future life and can be applied practically in production and daily life to meet the needs of modern production.
Publisher
Darcy & Roy Press Co. Ltd.
Reference6 articles.
1. Mingyue Cui, Zhaojing Wu. Trajectory tracking of flexible joint manipulators acted by DC motors under random disturbances [J]. Journal of the Franklin Institute, 2019.
2. Decao Chen, Shuai Li. A recurrent neural network applied to optimal motion control of mobile robots with physical constraints [J]. Applied Soft Computing Journal, 2019.
3. Hamed Jabbari Asl, Jungwon Yoon. Robust trajectory tracking control of cable driven parallel robots [J]. Online Dynamics, 2017.
4. Van Cuong P, Nan W Y. Adaptive trajectory tracking neural network control with robust compensator for robot manipulators [J] Neural Computing and Applications, 2016.
5. Zhang W, Qi N, Yin H. PD Control of Robot Manipulators with Uncertainties Based on Neural Network [C] International Conference on Intelligent Computing Technology & Automation IEEE, 2010.