A Deep-Sea Pipeline Skin Effect Electric Heat Tracing System
In order to ensure deep-water flowline safety, this paper combined the axial temperature distribution model of the submarine pipeline and the distributed parameter circuit model of the skin effect electric heat tracing system; such work is conducive to proving that the heating effect of the skin eff...
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Online Access: | https://www.mdpi.com/1996-1073/12/13/2466 |
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doaj-9709db1893454241ae56161b9311e6072020-11-25T00:32:08ZengMDPI AGEnergies1996-10732019-06-011213246610.3390/en12132466en12132466A Deep-Sea Pipeline Skin Effect Electric Heat Tracing SystemLi Ding0Jiasheng Zhang1Aiguo Lin2College of Information and Control Engineering, China University of Petroleum, Qingdao 266580, ChinaCollege of Information and Control Engineering, China University of Petroleum, Qingdao 266580, ChinaAcademy of Science and Technology, China University of Petroleum, Dongying 257061, ChinaIn order to ensure deep-water flowline safety, this paper combined the axial temperature distribution model of the submarine pipeline and the distributed parameter circuit model of the skin effect electric heat tracing system; such work is conducive to proving that the heating effect of the skin effect electric heat tracing system depends on the distributed circuit parameters and power frequency of the system. Due to the complexity of the power supply device, the frequency cannot be increased indefinitely. Therefore, for the case that the input of the skin electric heat tracing system is constrained, a generalized predictive control algorithm introducing the input softening factor is proposed, and the constrained generalized predictive control strategy is applied to the electric heating temperature control system of the submarine oil pipeline. Simulation results demonstrated that the control quantity of the skin effect electric heat tracing system is effectively controlled within a constraint range, and also the values of heating power and power frequency are obtained by theoretical calculations rather than empirical estimations. Moreover, compared with the conventional control algorithm, the proposed constrained generalized predictive algorithm unfolds more significant dynamic response and better adaptive adjustment ability, which verifies the feasibility of the proposed control strategy.https://www.mdpi.com/1996-1073/12/13/2466skin effectelectric heat tracingtemperature distribution modeldistributed parameter circuit modelgeneralized predictive control |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Li Ding Jiasheng Zhang Aiguo Lin |
spellingShingle |
Li Ding Jiasheng Zhang Aiguo Lin A Deep-Sea Pipeline Skin Effect Electric Heat Tracing System Energies skin effect electric heat tracing temperature distribution model distributed parameter circuit model generalized predictive control |
author_facet |
Li Ding Jiasheng Zhang Aiguo Lin |
author_sort |
Li Ding |
title |
A Deep-Sea Pipeline Skin Effect Electric Heat Tracing System |
title_short |
A Deep-Sea Pipeline Skin Effect Electric Heat Tracing System |
title_full |
A Deep-Sea Pipeline Skin Effect Electric Heat Tracing System |
title_fullStr |
A Deep-Sea Pipeline Skin Effect Electric Heat Tracing System |
title_full_unstemmed |
A Deep-Sea Pipeline Skin Effect Electric Heat Tracing System |
title_sort |
deep-sea pipeline skin effect electric heat tracing system |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2019-06-01 |
description |
In order to ensure deep-water flowline safety, this paper combined the axial temperature distribution model of the submarine pipeline and the distributed parameter circuit model of the skin effect electric heat tracing system; such work is conducive to proving that the heating effect of the skin effect electric heat tracing system depends on the distributed circuit parameters and power frequency of the system. Due to the complexity of the power supply device, the frequency cannot be increased indefinitely. Therefore, for the case that the input of the skin electric heat tracing system is constrained, a generalized predictive control algorithm introducing the input softening factor is proposed, and the constrained generalized predictive control strategy is applied to the electric heating temperature control system of the submarine oil pipeline. Simulation results demonstrated that the control quantity of the skin effect electric heat tracing system is effectively controlled within a constraint range, and also the values of heating power and power frequency are obtained by theoretical calculations rather than empirical estimations. Moreover, compared with the conventional control algorithm, the proposed constrained generalized predictive algorithm unfolds more significant dynamic response and better adaptive adjustment ability, which verifies the feasibility of the proposed control strategy. |
topic |
skin effect electric heat tracing temperature distribution model distributed parameter circuit model generalized predictive control |
url |
https://www.mdpi.com/1996-1073/12/13/2466 |
work_keys_str_mv |
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1725320714120069120 |