arrow
返回

New algorithm based active method to eliminate stick-slip vibrations in drill string systems

delete2022-05-08
delete3
delete
OA
AI
F
Fourat Zribi
L
Lilia Sidhom
M
Mohamed Gharib *
S
Shady S. Refaat
DOI:10.1080/21642583.2022.2047123delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
The drill string is always exposed to various types of vibrations among which, stick slip is one of the most important types. It is a severe state of torsional vibrations. This phenomenon can decrease the rate of penetration of drilling, wear of expensive equipment prematurely and cause catastrophic failures. In this paper, a novel adaptive sliding mode (SM) controller is proposed to eliminate stick slip in drill string systems. This proposed algorithm has a more robust capacity than existing 1st-order SM schemes in the literature regarding the robustness to parametric uncertainties, variations in weight on bit (WOB), variations in reference velocity and measurement noise. Moreover, the proposed controller does not require a priori knowledge of the upper bounds of parametric uncertainties, external disturbances and can be easily applied for any operating mode of the drill rig. A proof of stability based on the Lyapunov criterion of the system is given. Simulation results show that the proposed algorithm suppresses the stick-slip while keeping good performances compared to other SM controllers. A comparative study between the proposed controller and classic SM controllers and other adaptive SM scheme is performed in order to assess the advantages of the proposed algorithm and illustrate the overall performance improvements. The obtained results show that the proposed controller succeeded to eliminate the stick-slip phenomenon with the best performance compared to the classic SM controllers. In fact, the proposed controller presented a reduction of nearly 26% in terms of overshoot and 1.6 times better settling time values while having the smoother input signal.
Keyword:
Drill string
stick-slip phenomenon
sliding mode controller
adaptive controller
comparative study

期刊

Systems Science and Control Engineering 封面图
Systems Science and Control Engineering
IF:
4.4
论文数:
486
被引数:
2.1K

机构

Q
qatar foundation (qf)
学者数:
6.3K
论文数: 7.0K
被引数: 8
引用论文

引用论文

err分享
err收藏
Knowledge of Head and Neck Cancer Among Medical Students at 2 Chicago Universities
err2008-12-15
err0
PREAI
errNadia Mohyuddin; Alexander Langerman; Charles LeHew; Linda Kaste; Kristen Pytynia
err分享
err收藏
Fully CMOS integrated bandpass filter based on mechanical coupling of two RF MEMS resonators
err2010-04-29
err0
PREAI
errJ. Giner; A. Uranga; F. Torres; E. Marigó; N. Barniol
err分享
err收藏
学者 查看更多内容