Robust and Adaptive Control Design of a Drilling Rig During the Operating Modes
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Date
2019
Journal Title
Journal ISSN
Volume Title
Publisher
Sage Publications Ltd
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Oil well drilling towers have different operating modes during a real operation, like drilling, tripping, and reaming. Each mode involves certain external disturbances and uncertainties. In this study, using the nonlinear model for the modes of the operation, robust and/or adaptive control systems are designed based on the models. These control strategies include five types of controllers: cascaded proportional-integral-derivative, active disturbance rejection controller, loop shaping, feedback error learning, and sliding mode controller. The study presents the design process of these controllers and evaluates the performances of the proposed control systems to track the reference signal and reject the uncertain forces including the parametric uncertainties and the external disturbances. This comparison is based on the mathematical performance measures and energy consumption. In addition, three architectures are presented to control the weight on bit during drilling process, and also to maintain a preset constant weight on bit, two control approaches are designed and presented.
Description
Baranoglu, Besim/0000-0003-2005-050X; Nobahar, Amir/0000-0002-8248-4963;
Keywords
Drilling rig control, autonomous drilling, cascaded proportional-integral-derivative, active disturbance rejection control, loop-shaping control, feedback error learning, sliding mode control, Control engineering systems. Automatic machinery (General), TJ212-225, Diamond compact, T1-995, Technology (General)
Fields of Science
0102 computer and information sciences, 02 engineering and technology, 0204 chemical engineering, 01 natural sciences
Citation
WoS Q
Q3
Scopus Q

OpenCitations Citation Count
5
Source
Measurement and Control
Volume
52
Issue
5-6
Start Page
702
End Page
719
PlumX Metrics
Citations
CrossRef : 3
Scopus : 8
Captures
Mendeley Readers : 15
SCOPUS™ Citations
8
checked on Mar 21, 2026
Web of Science™ Citations
7
checked on Mar 21, 2026
Page Views
5
checked on Mar 21, 2026
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