Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)

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Electric tracing system temperature control of submarine heavy oil pipeline based on genetic algorithm

Authors
Li Ding, Jiasheng Zhang
Corresponding Author
Li Ding
Available Online November 2016.
DOI
10.2991/aest-16.2016.60How to use a DOI?
Keywords
submarine heavy oil pipeline; FOPDT; genetic algorithm; temperature control.
Abstract

In order to optimize the heating dynamic response of heavy oil in the submarine pipeline, the control system of the pipeline electric current tracing system is designed. Firstly, the mathematical model of electric current tracing system for heavy oil pipeline is established based on mechanism modeling method.ÿAims at the controlled object with First Order Plus Dead Time (FOPDT) model, temperature is controlled with the most widely used PID controller in industrial process control. Secondly, a variety of tuning methods for controller parameters are discussed.ÿFinally, the temperature control method based on genetic algorithm tuning is established, and comparisons are drawn by MATLAB simulation. The results showÿthat the temperature overshoot of PID temperature control method based on genetic algorithm is smaller, and the time for heating to target temperature is also significantly reduced. Therefore, PID temperature control method based on genetic algorithm can shorten the tuning time for parameters significantly, it has the higher heating efficiency with less energy cost, furthermore, and it can well meet the needs of heating system control.

Copyright
© 2016, 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 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
10.2991/aest-16.2016.60
ISSN
1951-6851
DOI
10.2991/aest-16.2016.60How to use a DOI?
Copyright
© 2016, 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  - Li Ding
AU  - Jiasheng Zhang
PY  - 2016/11
DA  - 2016/11
TI  - Electric tracing system temperature control of submarine heavy oil pipeline based on genetic algorithm
BT  - Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
PB  - Atlantis Press
SP  - 445
EP  - 452
SN  - 1951-6851
UR  - https://doi.org/10.2991/aest-16.2016.60
DO  - 10.2991/aest-16.2016.60
ID  - Ding2016/11
ER  -