Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation

Research on Vibration Risk Predictive Control of Auxiliary Shaft Hoist based on MCGS

Authors
Yunkai Liu, Jie Li, Xiangzhong Meng, Tao Yin
Corresponding Author
Yunkai Liu
Available Online April 2015.
DOI
https://doi.org/10.2991/icmra-15.2015.164How to use a DOI?
Keywords
auxiliary shaft hoist; predictive control; vibration signal;MCGS
Abstract
For the existing problems of security risks when the amplitude of auxiliary shaft hoist vibration is too large, we use the vibration sensors to collect the vibration signals of auxiliary shaft hoist and display it in the monitoring software MCGS, then research on the vibration risk predictive control according to the analysis of the collecting signals integrated into signal processing, automatic control technology, and using PLC to control the converter so as to adjust the running state of the hoist.,  finally realizing the online monitoring of the hoist running status and vibration risk predictive control of auxiliary shaft hoist.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation
Series
Advances in Computer Science Research
Publication Date
April 2015
ISBN
978-94-62520-76-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmra-15.2015.164How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yunkai Liu
AU  - Jie Li
AU  - Xiangzhong Meng
AU  - Tao Yin
PY  - 2015/04
DA  - 2015/04
TI  - Research on Vibration Risk Predictive Control of Auxiliary Shaft Hoist based on MCGS
BT  - Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 843
EP  - 846
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.164
DO  - https://doi.org/10.2991/icmra-15.2015.164
ID  - Liu2015/04
ER  -