石油学报 ›› 2018, Vol. 39 ›› Issue (7): 837-844.DOI: 10.7623/syxb201807011

• 石油工程 • 上一篇    下一篇

集肤效应电伴热系统的建模与控制策略

丁丽1, 张加胜1,2, 蔺爱国3   

  1. 1. 中国石油大学信息与控制工程学院 山东青岛 266580;
    2. 青岛黄海学院机电工程学院 山东青岛 266427;
    3. 中国石油大学科学技术研究院 山东东营 257061
  • 收稿日期:2017-10-03 修回日期:2018-05-08 出版日期:2018-07-25 发布日期:2018-08-01
  • 通讯作者: 丁丽,女,1986年5月生,2012年获齐鲁工业大学学士学位,2015年获齐鲁工业大学硕士学位,现为中国石油大学(华东)信息与控制工程学院博士生,研究方向为石油管道电伴热研究及复杂系统的先进控制与优化。Email:haoyunali@126.com
  • 作者简介:丁丽,女,1986年5月生,2012年获齐鲁工业大学学士学位,2015年获齐鲁工业大学硕士学位,现为中国石油大学(华东)信息与控制工程学院博士生,研究方向为石油管道电伴热研究及复杂系统的先进控制与优化。Email:haoyunali@126.com
  • 基金资助:

    中央高校基本科研业务费专项资金资助(16CX06051A)。

Modeling and control strategy of skin effect electric tracing system

Ding Li1, Zhang Jiasheng1,2, Lin Aiguo3   

  1. 1. College of Information and Control Engineering, China university of Petroleum, Shandong Qingdao 266580, China;
    2. School of Mechanical & Electrical Engineering, Qingdao Huanghai University, Shandong Qingdao 266427, China;
    3. Institute of Science and Technology, China University of Petroleum, Shandong Dongying 257061, China
  • Received:2017-10-03 Revised:2018-05-08 Online:2018-07-25 Published:2018-08-01

摘要:

鉴于海底输油管道集肤效应电伴热系统在加热降凝时的重要性,以集肤效应电伴热系统的机理为基础,分析集肤效应伴热系统的磁场分布,进而获得集肤效应电伴热系统的等效电路模型,并引入加热功率作为中间变量,从而建立电源频率与集肤效应伴热温度之间的关系。针对集肤效应电伴热系统,从整体上提出一种基于Hammestein模型的非线性 预测控制方法,首先采用辅助模型运用标准粒子群算法对Hammerstein模型的参数进行辨识及优化,然后对线性环节设计广义预测控制器,利用所需伴热温度求解出中间变量加热功率,再对非线性环节求逆反解出所需的电源频率,从而达到高效伴热的目的,并通过仿真研究验证了该控制策略的可行性和有效性。

关键词: 集肤效应, 电伴热系统, Hammerstein模型, 广义预测控制, 温度控制

Abstract:

Considering the importance of the skin effect electric tracing system of submarine oil pipeline during heating and solidification-reducing, the magnetic field distribution of skin effect heating system is analyzed based on the mechanism of skin effect heating system, so as to obtain the equivalent circuit model of skin effect electric heating system. Meanwhile, heating power is introduced as an intermediate variable to establish the relationship between power supply frequency and skin effect heating temperature. Aiming at the skin effect electric heating system, a nonlinear predictive control method is proposed macroscopically based on Hammestein model. Firstly, the parameters of Hammerstein model are identified and optimized using the auxiliary model and standard particle swarm optimization algorithm. Then, the generalized predictive 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.

Key words: skin effect, electric heat tracing system, Hammestein model, generalized predictive control, temperature control

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