Hybrid Interval Type-2 Fuzzy PID+I Controller for a Multi-DOF Oilwell Drill-String System

Laib, Abdelbaset; Talbi, Billel; Krama, Abdelbasset; Gharib, Mohamed

doi:10.1109/access.2022.3185021

Cited by 8 publications

(5 citation statements)

References 52 publications

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“…The fuzzy system is defined as: the inputs are the error "Err" and the error change "C_Err", the output corresponds to the voltage "Voltage", the "Err" input contains three MFs, the ends are of type "trapIT2mf ", and the center is "triIT2mf ". The equations that describe the knowledge of each function are shown in Equations ( 21) and (22).…”

Section: Interval Type-2 Fuzzy Systems Controllermentioning

confidence: 99%

“…These sets can handle system uncertainties by considering degrees of membership. The literature demonstrates the development of numerous works that utilize type-2 fuzzy controllers, which exhibit improved results [16][17][18][19][20][21][22][23][24][25]. Therefore, in this work, an interval type-2 fuzzy controller is implemented for this reason.…”

Section: Introductionmentioning

confidence: 99%

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A Shadowed Type-2 Fuzzy Approach for Crossover Parameter Adaptation in Differential Evolution

et al. 2023

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The shadowed type-2 fuzzy systems are used more frequently today as they provide an alternative to classical fuzzy logic. The primary purpose of fuzzy logic is to simulate reasoning in a computer. This work aims to use shadowed type-2 fuzzy systems (ST2-FS) to dynamically adapt the crossing parameter of differential evolution (DE). To test the performance of the dynamic crossing parameter, the motor position control problem was used, which contains an interval type-2 fuzzy system (IT2-FS) for controlling the motor. A comparison is made between the original DE and the algorithm using shadowed type-2 fuzzy systems (DE-ST2-FS), as well as a comparison with the results of other state-of-the-art metaheuristics.

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Section: Interval Type-2 Fuzzy Systems Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Shadowed Type-2 Fuzzy Approach for Crossover Parameter Adaptation in Differential Evolution

et al. 2023

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“…These techniques are appropriate for developing robust regulators of unknown or uncertain systems. Laib et al designed 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 [27]. The proposed OH-IT2FPID+I provided high control performance under several critical conditions.…”

Section: Introductionmentioning

confidence: 99%

Design of an Intelligent Cascade Control Scheme Using a Hybrid Adaptive Neuro-Fuzzy PID Controller for the Suppression of Drill String Torsional Vibration

Laib,

Gharib

2024

Applied Sciences

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Eliminating the excessive stick–slip torsional vibrations of drill strings by utilizing an effective controller can significantly increase penetration rates and reduce drilling operation costs. The present study aims to develop a fast and intelligent cascade control structure for a multi-degree-of-freedom drill string system under torsional vibrations. The proposed control configuration consists of two control loops in a cascade arrangement. The first controller estimates the top drive velocity reference from the actual drill bit velocity and its reference. The role of the second controller is to regulate the top drive velocity to its reference by generating the necessary torque for the drilling operation process to progress. Each control loop is designed based on a hybrid adaptive neuro-fuzzy PID and feedforward term. The latter assures fast regulation when there are sudden changes in operation. To evaluate the performance of the suggested cascade feedforward neuro-fuzzy PID (CFF-NFPID) control structure, extensive simulations were conducted using Matlab/Simulink. The simulation results clearly showed that the proposed CFF-NFPID controller provided high-performance control with variations in the weight on the bit and the desired drill bit rotary speed in comparison with that of cascade feedforward fuzzy PID, sliding-mode, cascade feedforward PID, cascade PID, and conventional PID controllers. Furthermore, the control robustness is very suitable despite the change in the system parameters.

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“…The results were identified through the experimental data [16]. Abdelbaset Laib proposed an optimal mixed interval type 2 fuzzy PID + I logic controller (OH-IT2FPID + I) for a multidegree-of-freedom drill string system using a practical group optimization algorithm [17]. Eva M. Navarro-López et al simplified the drill string system into an equivalent mass, and, based on the synovial motion characteristics and balance characteristics, linear state feedback control was used to analyze the bifurcation and transition phases of the drill string system, and then the parameter design of the controller was completed [18].…”

Section: Introductionmentioning

confidence: 99%

“…MacLean utilized improved integrated resonance control (MIRC) tracking to achieve the required drilling speed. The low-dimensional two-degree-of-freedom drill string model incorporated the drill bit's interaction with the rock in open-loop control and clearly showed that there was an unnecessary stick-slip response [17]. B. Besselink et al proposed a stick-slip control system; the effect of velocity reduction on WOB was analyzed and the formation of stick-slip torsional vibration was explained by using the singular perturbation and average method [19,20].…”

Section: Introductionmentioning

confidence: 99%

Stick–Slip Vibration Characteristics Study of the Drill String Based on PID Controller

Yan,

Tian,

Meng

et al. 2023

Energies

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In order to address the issue of drill string stick–slip vibration, which leads to drill bit wear and reduces the drilling velocity, we conducted a study on the characteristics of stick–slip vibration using a proportional-integral-derivative (PID) controller. By applying the principles of rigid body mechanics, we established a two-degree-of-freedom torsional dynamics equation and derived the first-order differential dynamics equation for the drill string. Subsequently, we designed a PID controller and obtained an equation for the control of stick–slip vibration. The research findings indicate that variations in the difference between the static and dynamic friction coefficients directly impact the nature of the limit cycles in the phase plane. As this difference decreases, the limit cycle narrows and the stick–slip vibrations weaken progressively. When the static and dynamic friction coefficients are equalized, no stick–slip vibrations occur within the drill string. The implementation of PID control effectively manages stick–slip vibrations in the drill string, with greater efficiency observed in controlling the turntable velocity compared to the drill bit velocity. This research provides valuable insights for the development of control strategies aimed at mitigating stick–slip vibrations in drilling engineering applications, thereby facilitating the efficient and safe extraction of oil and gas resources.

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Hybrid Interval Type-2 Fuzzy PID+I Controller for a Multi-DOF Oilwell Drill-String System

Cited by 8 publications

References 52 publications

A Shadowed Type-2 Fuzzy Approach for Crossover Parameter Adaptation in Differential Evolution

A Shadowed Type-2 Fuzzy Approach for Crossover Parameter Adaptation in Differential Evolution

Design of an Intelligent Cascade Control Scheme Using a Hybrid Adaptive Neuro-Fuzzy PID Controller for the Suppression of Drill String Torsional Vibration

Stick–Slip Vibration Characteristics Study of the Drill String Based on PID Controller

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