上海交通大学学报 ›› 2023, Vol. 57 ›› Issue (11): 1389-1399.doi: 10.16183/j.cnki.jsjtu.2022.235
所属专题: 《上海交通大学学报》2023年“船舶海洋与建筑工程”专题
• 船舶海洋与建筑工程 • 下一篇
收稿日期:
2022-06-21
修回日期:
2022-10-06
接受日期:
2022-10-18
出版日期:
2023-11-28
发布日期:
2023-12-01
通讯作者:
孟 帅,副教授,博士生导师;E-mail:作者简介:
张晨宇(1998-),硕士生,从事海洋立管再入井控制研究.
基金资助:
Received:
2022-06-21
Revised:
2022-10-06
Accepted:
2022-10-18
Online:
2023-11-28
Published:
2023-12-01
摘要:
海洋立管在钻井作业时一旦遇到恶劣天气须将底端总成和防喷器断开,待天气好转需重新连接称为再入井作业.深海区钻井立管发生断开的概率大幅增加,为适应多变的海况需要快速完成再入井过程.提出基于模型预测控制(MPC)再入井控制系统;基于哈密顿原理建立悬挂立管分析模型,设计优化函数及约束项,构建非线性扰动观测器实现洋流力模型误差和洋流速度扰动补偿,与传统比例-积分-微分(PID)控制作业进行仿真比较.MPC系统作用下,母船迅速响应,立管能快速稳定完成再入井作业,较好处理洋流力模型误差,并在洋流速度扰动下具有良好鲁棒性.立管由于长径比大幅增加导致柔性显著增强,在母船及海洋环境力激励下,悬挂立管在快速再入井过程中高阶模态可能被激发.
中图分类号:
张晨宇, 孟帅. 基于模型预测控制的深海钻井立管再入井仿真分析[J]. 上海交通大学学报, 2023, 57(11): 1389-1399.
ZHANG Chenyu, MENG Shuai. Simulation Study of Reentry Dynamics of a Deep-Water Drilling Riser System Based on Model Predictive Control[J]. Journal of Shanghai Jiao Tong University, 2023, 57(11): 1389-1399.
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