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Modeling and Control Strategy of Built-in Skin Effect Electric Tracing System

Li Ding1, Jiasheng Zhang,1,2, Hongchang Sun3,*

College of Information and Control Engineering, China university of Petroleum, No. 66, West Changjiang Road, Huangdao District, 266580, Qingdao, China.
School of Mechanical & Electrical Engineering, Qingdao Huanghai University, No. 1145, Linghai Road, Huangdao District, 266427, Qingdao, China
School of Control Science and Engineering, Shandong University, No. 27, Shanda South Road, 250100, Jinan, China.

*Corresponding Author: Hongchang Sun. Email: email.

Computer Modeling in Engineering & Sciences 2018, 117(2), 213-229. https://doi.org/10.31614/cmes.2018.03981

Abstract

In order to ensure the safety of fluid flow in deep-water submarine pipelines, a safe and energy-saving built-in skin effect electric heat tracing technology was adopted as the thermal management strategy. The magnetic field distribution of built-in skin effect heating system is analyzed based on the mechanism of built-in skin effect heating system, so as to obtain the equivalent circuit model of built-in skin effect electric heating system. Meanwhile, heating power is introduced as an intermediate variable to establish the relationship between power supply frequency and built-in skin effect heating temperature. Aiming at the skin effect electric heating system, an Active Disturbance Rejection Control (ADRC) method is proposed macroscopically based on Hammerstein model. Firstly, the parameters of Hammerstein model are identified and optimized using the auxiliary model and standard particle swarm optimization algorithm. Then, the ADRC controller of linear link is designed, and the required heating temperature is used to solve the intermediate variable heating power. Finally, inversion calculation is applied in the nonlinear link to solve the required power frequency, so as to achieve the purpose of efficient heating and verify the feasibility and effectiveness of control strategy through simulation.

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APA Style
Ding, L., Zhang, J., , , Sun, H. (2018). Modeling and control strategy of built-in skin effect electric tracing system. Computer Modeling in Engineering & Sciences, 117(2), 213-229. https://doi.org/10.31614/cmes.2018.03981
Vancouver Style
Ding L, Zhang J, , Sun H. Modeling and control strategy of built-in skin effect electric tracing system. Comput Model Eng Sci. 2018;117(2):213-229 https://doi.org/10.31614/cmes.2018.03981
IEEE Style
L. Ding, J. Zhang, , and H. Sun "Modeling and Control Strategy of Built-in Skin Effect Electric Tracing System," Comput. Model. Eng. Sci., vol. 117, no. 2, pp. 213-229. 2018. https://doi.org/10.31614/cmes.2018.03981



cc Copyright © 2018 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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