Journal of Robotics, Networking and Artificial Life

Volume 4, Issue 2, September 2017, Pages 175 - 178

Fuzzy self-tuning PID control algorithm for belt conveyor driven by multi-motor

Authors
Caixia Gao, Fuzhong Wang, Ziyi Fu
Corresponding Author
Caixia Gao
Available Online 1 September 2017.
DOI
10.2991/jrnal.2017.4.2.15How to use a DOI?
Keywords
belt conveyor, power unbalance, fuzzy self-tuning PID
Abstract

Aiming at the problems of low efficiency when long distance and high-inclination belt conveyor driven by multimotor is in light or idle run as well as electrical power unbalance. Control strategy for belt conveyor driven by fourmotor via fuzzy self-tuning PID control algorithm was proposed. The Speed setting algorithm of belt conveyor and fuzzy self-tuning PID algorithm for speed control and power balance control are introduced. The application shows that, according to the coal flow changes of the belt conveyor in real-time, the speed can be automatically adjusted through this algorithm, making the power of the four motors convergence both speed control error and the power control error of which are lower than 2.6%.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
4 - 2
Pages
175 - 178
Publication Date
2017/09/01
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.2017.4.2.15How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Caixia Gao
AU  - Fuzhong Wang
AU  - Ziyi Fu
PY  - 2017
DA  - 2017/09/01
TI  - Fuzzy self-tuning PID control algorithm for belt conveyor driven by multi-motor
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 175
EP  - 178
VL  - 4
IS  - 2
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2017.4.2.15
DO  - 10.2991/jrnal.2017.4.2.15
ID  - Gao2017
ER  -