Ai, Q, Yang, Q, Li, M et al. (2 more authors) (2018) Implementing Multi-DOF Trajectory Tracking Control System for Robotic Arm Experimental Platform. In: 2018 10th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). ICMTMA 2018, 10-11 Feb 2018, Changsha, China. IEEE , pp. 282-285.
Abstract
To implement the control system of a multi-DOF robotic manipulator (Dobot), the robot dynamics, trajectory planning algorithm and motion control strategy are studied for designing the trajectory tracking control system. In this paper, the hardware and software of Dobot magician control system are designed. The hardware mainly includes STM32 controller. The software part mainly builds the host computer display interface, completes the protocol communication between the robot manipulator and the PC, so as to realize the trajectory tracking control of the robot manipulator and implement the track-following in real time. The experimental results show that the control system can accurately track the trajectory of robotic manipulator with a certain degree of real-time and stability.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2018, IEEE. This is an author produced version of a paper published in 2018 10th International Conference on Measuring Technology and Mechatronics Automation. Uploaded in accordance with the publisher's self-archiving policy. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | robotic manipulator; trajectory tracking control; trajectory planning; control systems |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 01 May 2019 14:47 |
Last Modified: | 01 May 2019 14:47 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ICMTMA.2018.00075 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:145488 |