Arıkan, Kutluk Bilge

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Profile URL
https://hdl.handle.net/20.500.14411/8140
Name Variants
K.B.Arikan
Kutluk Bilge, Arıkan
K., Arikan
Arıkan,K.B.
Arıkan, Kutluk Bilge
K.B.Arıkan
Kutluk Bilge, Arikan
Arikan, Kutluk Bilge
K.,Arıkan
A., Kutluk Bilge
Arikan,K.B.
A.,Kutluk Bilge
Arikan, K. B.
Job Title
Doktor Öğretim Üyesi
Email Address
kutluk.arikan@atilim.edu.tr
Main Affiliation
Department of Mechatronics Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
1
Research Products
ZERO HUNGER2
ZERO HUNGER
0
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
1
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QUALITY EDUCATION4
QUALITY EDUCATION
0
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GENDER EQUALITY5
GENDER EQUALITY
0
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
0
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DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
1
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
1
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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CLIMATE ACTION13
CLIMATE ACTION
0
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LIFE BELOW WATER14
LIFE BELOW WATER
0
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LIFE ON LAND15
LIFE ON LAND
0
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PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
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PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
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This researcher does not have a Scopus ID.
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Scholarly Output

38

Articles

11

Views / Downloads

128/336

Supervised MSc Theses

14

Supervised PhD Theses

7

WoS Citation Count

161

Scopus Citation Count

208

Patents

0

Projects

0

WoS Citations per Publication

4.24

Scopus Citations per Publication

5.47

Open Access Source

3

Supervised Theses

21

JournalCount
Journal of Petroleum Science and Engineering2
20th Annual International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2013 -- 20th Annual International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2013 -- 20 September 2013 through 20 September 2013 -- Ankara -- 1022762
Adaptive Behavior1
AIAA Modeling and Simulation Technologies Conference, 2016 -- AIAA Modeling and Simulation Technologies Conference, 2016 -- 13 June 2016 through 17 June 2016 -- Washington -- 1764991
AIAA SciTech Forum - 55th AIAA Aerospace Sciences Meeting -- 55th AIAA Aerospace Sciences Meeting -- 9 January 2017 through 13 January 2017 -- Grapevine -- 1264231
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Start date: 2020Subject: Active disturbance rejection controller

Scholarly Output Search Results

Now showing 1 - 1 of 1
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    Article
    Citation - WoS: 1
    Citation - Scopus: 1
    Performance Assessment of Tripping and Drilling Operations Controllers on an Experimental Drilling Rig Prototype
    (Elsevier, 2023) Nobahar, Amir; Arikan, Kutluk Bilge; Ozbek, Mehmet Efe; Naseri, Babek
    Oil well drilling towers have different operating modes during a real operation, each mode involves certain external disturbances and uncertainties. Performance evaluation of robust or adaptive Cascade PID, Active Disturbance Rejection, Loop Shaping, Feedback Error Learning, and Sliding Mode torque controllers, during the tripping and drilling operations, and their practical comparison are studied and evaluated by constructing a drilling rig prototype. The modeling of the experimental setup is extracted by mathematical modeling, and system identification. The practical performance of the controllers and their stabilities against the uncertain forces including the parametric uncertainties and the external disturbances are studied during the operations, by loading and unloading a disturbance weight. It has been shown that the effects of uncertain forces are successfully eliminated by the controllers. The Loop Shaping controller has the best performance among all the designed controllers, and all of them roughly consume the same control energy. A desired speed profile is designed to shape the vertical speed reference during the tripping operation, then its effect on the system behavior is analyzed to prevent the slackening problem in the drilling cable. Also, the behavior of control architectures in two modes of autonomous drilling is studied and analyzed. By analyzing and optimizing the performance efficiency in a controlled environment, along with enhancing the performances of the controllers, what we learn in this research could presumably be applicable in the field to have an accurate and safe operation.