Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)

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Simulation Analysis of Temperature Controlling for Resistance Furnace Based on Hybrid Particle Swarm Optimization

Authors
Yuqin Yao, Shiyu Hu
Corresponding Author
Yuqin Yao
Available Online September 2017.
DOI
10.2991/icmmcce-17.2017.258How to use a DOI?
Keywords
Hybrid Particle Swarm Optimization; resistance furnace; temperature; control; control theory and engineering; intelligent control theory
Abstract

The temperature is an important parameter for resistance furnace among the industries. Its nonlinear characteristics makes it is difficult to be controlled, therefore it is necessary to find out an effective method to get the resistance furnace temperature under control. The hybrid particle swarm algorithm and PID controller are combined to design the temperature controlling system of resistance furnace. Based on real situation of resistance furnace temperature control, the mathematical model of hybrid particle swarm algorithm is established. The chemotaxis, dispersion and reproduction of bacteria are introduced into the hybrid particle warm algorithm. According to the controlling theory, the basic procedure of hybrid PSO algorithm is designed and a temperature control system used for resistance furnace is developed too. The performance of control system is tested through simulation analysis and the simulation results are compared with the onsite data collected. The results of simulation show that the simulation value is close to the measured value, therefore, good resistance furnace temperature control result is obtained.

Copyright
© 2017, 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 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
Series
Advances in Engineering Research
Publication Date
September 2017
ISBN
10.2991/icmmcce-17.2017.258
ISSN
2352-5401
DOI
10.2991/icmmcce-17.2017.258How to use a DOI?
Copyright
© 2017, 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

risenwbib
TY  - CONF
AU  - Yuqin Yao
AU  - Shiyu Hu
PY  - 2017/09
DA  - 2017/09
TI  - Simulation Analysis of Temperature Controlling for Resistance Furnace Based on Hybrid Particle Swarm Optimization
BT  - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
PB  - Atlantis Press
SP  - 1473
EP  - 1478
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmcce-17.2017.258
DO  - 10.2991/icmmcce-17.2017.258
ID  - Yao2017/09
ER  -