Proceedings of the 2015 Information Technology and Mechatronics Engineering Conference

Research on the Control System of Greenhouse Based on Particle Swarm and Neural Network

Authors
Jun Wang, Haiye Yu
Corresponding Author
Jun Wang
Available Online March 2015.
DOI
https://doi.org/10.2991/itoec-15.2015.35How to use a DOI?
Keywords
Greenhouse controlling, neural network, particle swarm, system design
Abstract

In terms of problems from the quantification factor and scaling factor for fuzzy controller in networked control systems (NCS), which are hard to tackle with conventional empirical methods, the improved quantum particle swarm optimization (IQPSO) based on adaptive mutation of the artificial bee colony operator is proposed in this paper, which is inspired by the thought of searching for nectar source in artificial bee colony algorithm (ABC algorithm) and the performance test is conducted against three types of typical test functions. Then IQPSO is applied into the parameter optimization of fuzzy controller in NCS with time delays, and one typical case in the industrial process control is used to perform the simulated experiment, of which the results indicate that fuzzy controller designed with the aid of IQPSO algorithm PID controller is of better control effect and higher adaptive capacity than those of the PID controller designed with IQPSO and the fuzzy controller designed with standard QPSO algorithm.

Copyright
© 2015, 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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Volume Title
Proceedings of the 2015 Information Technology and Mechatronics Engineering Conference
Series
Advances in Computer Science Research
Publication Date
March 2015
ISBN
978-94-62520-52-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/itoec-15.2015.35How to use a DOI?
Copyright
© 2015, 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  - CONF
AU  - Jun Wang
AU  - Haiye Yu
PY  - 2015/03
DA  - 2015/03
TI  - Research on the Control System of Greenhouse Based on Particle Swarm and Neural Network
BT  - Proceedings of the 2015 Information Technology and Mechatronics Engineering Conference
PB  - Atlantis Press
SP  - 164
EP  - 168
SN  - 2352-538X
UR  - https://doi.org/10.2991/itoec-15.2015.35
DO  - https://doi.org/10.2991/itoec-15.2015.35
ID  - Wang2015/03
ER  -