Hybrid Interval Type-2 Fuzzy PID+I Controller for a Multi-DOF Oilwell Drill-String System
<p>The control of multibody drill-string systems is not easy and designing such systems is considered challenging because of the difficulty in the dynamic analysis of its nonlinear characteristics and parametric uncertainties. An optimal hybrid interval Type-2 fuzzy PID+I logic controller (OH-...
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2022
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| _version_ | 1864513562700939264 |
|---|---|
| author | Abdelbaset Laib (16904688) |
| author2 | Billel Talbi (16904784) Abdelbasset Krama (16870008) Mohamed Gharib (2795452) |
| author2_role | author author author |
| author_facet | Abdelbaset Laib (16904688) Billel Talbi (16904784) Abdelbasset Krama (16870008) Mohamed Gharib (2795452) |
| author_role | author |
| dc.creator.none.fl_str_mv | Abdelbaset Laib (16904688) Billel Talbi (16904784) Abdelbasset Krama (16870008) Mohamed Gharib (2795452) |
| dc.date.none.fl_str_mv | 2022-06-21T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2022.3185021 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Hybrid_Interval_Type-2_Fuzzy_PID_I_Controller_for_a_Multi-DOF_Oilwell_Drill-String_System/24056391 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Control engineering, mechatronics and robotics Electrical engineering Mechanical engineering Resources engineering and extractive metallurgy Information and computing sciences Distributed computing and systems software Vibrations Torque Real-time systems Friction Drilling Mathematical models Particle swarm optimization Drill-string vibration Type-2 fuzzy PID Practical swarm optimization Hardware-in-the-loop Real-time simulation |
| dc.title.none.fl_str_mv | Hybrid Interval Type-2 Fuzzy PID+I Controller for a Multi-DOF Oilwell Drill-String System |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>The control of multibody drill-string systems is not easy and designing such systems is considered challenging because of the difficulty in the dynamic analysis of its nonlinear characteristics and parametric uncertainties. An optimal hybrid interval Type-2 fuzzy PID+I logic controller (OH-IT2FPID+I) using a practical swarm optimization algorithm for a multi-degree-of-freedom oil well drill-string system is proposed in this paper. The suggested control concept is aimed to overcome several bit sticking troubles and stick–slip vibration by regulating the rotary velocities of drill-string components, especially rotary table velocity and drill bit velocity, to a predefined value. The drill-string system considered here has four degrees of freedom in the down-hole parts and the model takes the nonlinear interactions of the drill bit and the rocks into account, including friction torque and the mud drilling effect. Extensive simulations in Matlab/Simulink and experimental validations through a real-time hardware in the loop (HIL) system were performed to demonstrate the effectiveness of the suggested controller in comparison with sliding mode, Type 1 fuzzy logic and PID controllers. The quantitative comparison performed using simulation results proves that the proposed OH-IT2FPID+I provides higher control performance in terms of settling time and peak overshoot under variation of the weight on bit, the desired drill bit rotary speed, and handling parametric uncertainties. On the other hand, HIL results confirm the control performance provided by the proposed control under all different testing scenarios.</p><h2>Other Information</h2><p>Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2022.3185021" target="_blank">https://dx.doi.org/10.1109/access.2022.3185021</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_8635c4355116edf08829ea549a739a38 |
| identifier_str_mv | 10.1109/access.2022.3185021 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24056391 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Hybrid Interval Type-2 Fuzzy PID+I Controller for a Multi-DOF Oilwell Drill-String SystemAbdelbaset Laib (16904688)Billel Talbi (16904784)Abdelbasset Krama (16870008)Mohamed Gharib (2795452)EngineeringControl engineering, mechatronics and roboticsElectrical engineeringMechanical engineeringResources engineering and extractive metallurgyInformation and computing sciencesDistributed computing and systems softwareVibrationsTorqueReal-time systemsFrictionDrillingMathematical modelsParticle swarm optimizationDrill-string vibrationType-2 fuzzy PIDPractical swarm optimizationHardware-in-the-loopReal-time simulation<p>The control of multibody drill-string systems is not easy and designing such systems is considered challenging because of the difficulty in the dynamic analysis of its nonlinear characteristics and parametric uncertainties. An optimal hybrid interval Type-2 fuzzy PID+I logic controller (OH-IT2FPID+I) using a practical swarm optimization algorithm for a multi-degree-of-freedom oil well drill-string system is proposed in this paper. The suggested control concept is aimed to overcome several bit sticking troubles and stick–slip vibration by regulating the rotary velocities of drill-string components, especially rotary table velocity and drill bit velocity, to a predefined value. The drill-string system considered here has four degrees of freedom in the down-hole parts and the model takes the nonlinear interactions of the drill bit and the rocks into account, including friction torque and the mud drilling effect. Extensive simulations in Matlab/Simulink and experimental validations through a real-time hardware in the loop (HIL) system were performed to demonstrate the effectiveness of the suggested controller in comparison with sliding mode, Type 1 fuzzy logic and PID controllers. The quantitative comparison performed using simulation results proves that the proposed OH-IT2FPID+I provides higher control performance in terms of settling time and peak overshoot under variation of the weight on bit, the desired drill bit rotary speed, and handling parametric uncertainties. On the other hand, HIL results confirm the control performance provided by the proposed control under all different testing scenarios.</p><h2>Other Information</h2><p>Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2022.3185021" target="_blank">https://dx.doi.org/10.1109/access.2022.3185021</a></p>2022-06-21T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2022.3185021https://figshare.com/articles/journal_contribution/Hybrid_Interval_Type-2_Fuzzy_PID_I_Controller_for_a_Multi-DOF_Oilwell_Drill-String_System/24056391CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/240563912022-06-21T00:00:00Z |
| spellingShingle | Hybrid Interval Type-2 Fuzzy PID+I Controller for a Multi-DOF Oilwell Drill-String System Abdelbaset Laib (16904688) Engineering Control engineering, mechatronics and robotics Electrical engineering Mechanical engineering Resources engineering and extractive metallurgy Information and computing sciences Distributed computing and systems software Vibrations Torque Real-time systems Friction Drilling Mathematical models Particle swarm optimization Drill-string vibration Type-2 fuzzy PID Practical swarm optimization Hardware-in-the-loop Real-time simulation |
| status_str | publishedVersion |
| title | Hybrid Interval Type-2 Fuzzy PID+I Controller for a Multi-DOF Oilwell Drill-String System |
| title_full | Hybrid Interval Type-2 Fuzzy PID+I Controller for a Multi-DOF Oilwell Drill-String System |
| title_fullStr | Hybrid Interval Type-2 Fuzzy PID+I Controller for a Multi-DOF Oilwell Drill-String System |
| title_full_unstemmed | Hybrid Interval Type-2 Fuzzy PID+I Controller for a Multi-DOF Oilwell Drill-String System |
| title_short | Hybrid Interval Type-2 Fuzzy PID+I Controller for a Multi-DOF Oilwell Drill-String System |
| title_sort | Hybrid Interval Type-2 Fuzzy PID+I Controller for a Multi-DOF Oilwell Drill-String System |
| topic | Engineering Control engineering, mechatronics and robotics Electrical engineering Mechanical engineering Resources engineering and extractive metallurgy Information and computing sciences Distributed computing and systems software Vibrations Torque Real-time systems Friction Drilling Mathematical models Particle swarm optimization Drill-string vibration Type-2 fuzzy PID Practical swarm optimization Hardware-in-the-loop Real-time simulation |