Browsing by Author "Kidouche, Madjid"

Filter results by typing the first few letters
Now showing 1 - 20 of 29
  • No Thumbnail Available
    Item
    Axial-Torsional Vibrations Interaction Analysis and Decoupling in Drill String Systems
    (2024) Meddah, Sabrina; Tadjer, Sid Ahmed; Kidouche, Madjid
    Rotary drilling system is an important and crucial electromechanical system used in petroleum industry, it is used to drill holes and extract oil and gas from targeted reservoirs beneath the surface. The rate of penetration (ROP) is one of the quantitative metrics used to assess the performance of the drilling system. However, the appearance of unwanted vibrations generally leads to decrease of this performance and increase the nonproductive time (NPT), in addition to drill string damages and wears. These vibrations are classified according to their propagation direction into three types: Axial, Lateral and Torsional. Many researches have been dedicated to designing robust controller to mitigate such vibrations separately. Nevertheless, vibrations often occur simultaneously, with interactions between them. This interaction can have a direct influence on the robustness of the designed controllers. Thus, in order to design a robust controller that mitigate the most frequent vibrations (Axial and torsional), it is necessary to analyze the interaction between them and decouple them before application of any controller. The main objective of this study is to analyze the interaction between the axial and torsional vibrations in the Two-input two-output (TITO) drill string model and to design appropriate decouplers for the system. Based on the obtained results, we demonstrate a significant interaction between the torsional and axial vibrations, and proved that the introduced decouplers have omitted these interaction terms with a minimum influence on the whole dynamic of drill-string system. Therefore, applying this decoupling process is highly recommended to enhance the robustness of the controller in mitigating axial and torsional vibrations simultaneously.
  • No Thumbnail Available
    Item
    Combining sliding mode and second lyapunov function for flux estimation
    (2016) Ahriche, Aimad; Kidouche, Madjid; Idir, Abdelhakim; Deia, Yacine
  • No Thumbnail Available
    Item
    A constructive globally convergent adaptive speed observer for port-hamiltonian mechanical systems with non-holonomic constraints
    (Wiley Online Library, 2018) Touati Brahim, Ammar; Kidouche, Madjid
    This paper presents an adaptive speed observer for general port-Hamiltonian mechanical systems with non-holonomic constraints in the presence of unknown friction forces and constant disturbances. Unlike the observers recently reported in the literature, which have been designed either under the assumptions of no friction and the absence of disturbances or for a specific class of mechanical systems with the requirement of an explicit solution of certain Partial Differential Equations (PDEs) that cannot be derived a priori, this observer proposes a design that obviates the solution of PDEs and ensures global convergence for general mechanical systems with k-non-holonomic constraints. The observer is totally constructive and given by explicit expressions. The simulation results testify to the effectiveness and the robust features of the developed observer
  • No Thumbnail Available
    Item
    Data-driven fuzzy models for nonlinear identification of a complex heat exchanger
    (Elsevier, 2011) Habbi, Hacene; Kidouche, Madjid; Zelmat, Mimoun
    This paper presents and discusses experimental results on nonlinear model identification method applied to a real pilot thermal plant. The aim of this work is to develop a moderately complex model with interpretable structure for a complex parallel flow heat exchanger which is the main component of the thermal plant using a fuzzy clustering technique. The proposed Takagi–Sugeno-type (TS) fuzzy rule-based model is derived through an iterative fuzzy clustering algorithm using a set of input–output measurements. It is shown that the identified multivariable fuzzy rule-based model captures well the key dynamical properties of the physical plant over a wide operating range and under varying operating conditions. For validation, the model is run in parallel and series-parallel configurations to the real process. The experimental results show clearly the high performance of the proposed fuzzy model in achieving good prediction of the main process variables
  • No Thumbnail Available
    Item
  • No Thumbnail Available
    Item
  • No Thumbnail Available
    Item
    Design of optimal decentralized controller using overlapping decomposition for smart building system
    (Springer, 2020) Doghmane, Mohamed Zinelabidine; Kidouche, Madjid; Eladj, S.; Belahcene, B.
    Many industrial systems are known to have complex structure with large dimension variables. For such type of complexities, it is generally preferable to evade the design of centralized controller because of dimensionality augmentation in the step of implementation. Many research studies have been focused on designing decentralized controller for large scale systems. The aim of this paper is not just designing high dimension decentralized controller but also increase the robustness and improve systems’ performance, the optimality of these systems has been considered and discussed in the frame work of mathematical development of inclusion-contraction principle and overlapping decomposition. Furthermore, the proposed control strategy has been applied to a smart building system in order to minimize the damage caused by earthquake; the obtained results allow us to conclude that the proposed control strategy can be so useful for constructing smart cities
  • No Thumbnail Available
    Item
    Discretization Order Influences on Extended Kalman Filter Estimation for Doubly-Fed Induction Generator
    (Wydawnictwo SIGMA-NOT, 2024) Boussoufa, Ahmad; Ahriche, Aimad; Kidouche, Madjid; Doghmane, Mohammed Zinelabidine
    The main objective of this paper is to analyze the influence of the discretization step on the estimated states of the Doubly-Fed Induction Generator (DFIG). Although the Extended Kalman Filter (EKF) has been widely used for such systems, the discretization process is conventionally ensured by the first-order Forward Euler method. Therefore, the effects of the discretization order of the discrete state-space representation on the Extended Kalman Filter estimation have not been studied before. In this paper, we combine the Extended Kalman Filter with two second-order discretization methods: Central Difference and Adams-Bashforth methods, to estimate the states of a Doubly-Fed Induction Generator and improve the estimation precision of the rotor speed and the Flux of the generator. A comparative study has been conducted to analyze the qualitative and quantitative responses of the estimator for different cases. The obtained results have demonstrated the significance of the discretization order on the estimation process of the two states of the DFIG.
  • No Thumbnail Available
    Item
    Fully decentralized fuzzy sliding mode control with chattering elimination for a quadrotor attitude
    (IEEE, 2015) Deia, Yacine; Kidouche, Madjid; Ahriche, Aimad
  • No Thumbnail Available
    Item
    Hybrid adaptive Backstepping-Sliding mode control design for Non-linear Under-Actuated systems
    (Springer, 2022) Doghmane, Mohamed Zinelabidine; Kidouche, Madjid; Riache, Samah; Aibeche, Abderrazak
    This paper focuses on studying the inverted pendulum as a case study of under-actuated systems, which has two degrees of freedom and a single actuator. The Lagrangian dynamic model of the system is non-linear and its internal dynamic is not asymptotically stable. The control of this system has been the subject to many studies because the dynamics of the inverted pendulum is closer to those of more complex systems. Besides, this mechanism is a low cost tool for implementation and practical illustration of new control approaches. For the stabilization of the system, it is first necessarily to bring the pendulum from its equilibrium stable position (pendulum pointing downwards) to its unstable equilibrium position. In this study, different control approaches were applied to the system such as sliding mode control, Backstepping method, and their combination. These studied techniques are very implementable for under-actuated systems, where their algorithms are designed with an appropriate choice of parameters. Moreover, the obtained results are very interesting; they show the effectiveness of the proposed hybrid approach in improving the performances, namely, the controller robustness and convergence stability. The hybrid control system has been designed for both stabilization and external disturbances rejection. Hence, the main contribution of this study is the hybridization of adaptive backstepping approach with sliding mode control for under-actuated systems
  • No Thumbnail Available
    Item
    Hybrid sliding PID controller for torsional vibrations mitigation in rotary drilling systems
    (Institute of Advanced Engineering and Science, 2021) Mendil, Chafiaa; Kidouche, Madjid; Doghmane, Mohamed Zinelabidine
    During the drilling process, the drilling system devices can be exposed to several types of phenomena incited by lateral, axial, and torsional vibrations. The latter can lead to severe damages if they are not efficiently controlled and quickly mitigated. This research work is focused on the torsional vibrations, which are stimulated by the nonlinear dynamical interaction between the geological rocks and the drill bit. Wherein, a model with three degrees of freedom was designed to demonstrate the severity of the stick-slip phenomenon as consequence of torsional vibrations. The main objective of this study was to design a robust controller based on hybridizing a conventional PID controller with sliding mode approach in order to mitigate rapidly the torsional vibrations. Moreover, a comparative study between PI, PID and sliding mode controllers allowed us to emphasize the effectiveness of the new hybrid controller and improve the drilling system performances. Furthermore, the chattering phenomenon in the sliding surface was overcome by using the saturation function rather than the sign function. The obtained results proved the usefulness of the proposed controller in suppressing the stick-slip phenomenon for smart industrial drilling systems
  • No Thumbnail Available
    Item
    Identification and modeling of a rotary kiln in cement plant based on ANN (MLP)
    (Springer, 2022) Doghmane, Mohamed Zinelabidine; Kidouche, Madjid; Eladj, S.; Ouali, A.
    The objective of this study is to identify and model a rotary cement kiln based on production history data by using an artificial neural network MLP algorithm. The usefulness of this algorithm is that it provides a reliable empirical relation between the inputs parameters (Flow, Temperature, and pressure) and the outputs, which indicate the cement quality. Where, the most critical process in a cement production facility is cooking the mixed raw material in a rotary kiln; its task is to gradually burn and bakes a suitable mixture of input material to produce clinker. Therefore, the rotary kiln is the most important part in a cement factory. From another side, the control of a cement kiln is a complex process due to many factors namely: The Non linearity of the system caused by the chemical reactions, its dynamic and high dimensionality. Therefore, identification, modelling, prediction and simulation of Kiln system is very crucial step in managing and optimizing the cement production. Since the ANN has demonstrated its effectiveness in identifying a large class of complex nonlinear systems, it has been proposed in this case study to model cement Kiln of plant based on Multi-Layer Perceptron (MLP) approach. The MLP algorithm has been trained by using history data of twenty four months, and it has been tested and validated through comparison with production data of the next six months after the training. The obtained results have demonstrated the superiority of the proposed ANN approach over the conventional modelling approaches
  • No Thumbnail Available
    Item
    Modeling of hydrocarbons rotary drilling systems under torsional vibrations : a survey
    (Springer, 2020) Mendil, Chafiaa; Kidouche, Madjid; Doghmane, Mohamed Zinelabidine
    Modeling of vibrations dynamic during drilling hydrocarbons wells is one of the main challenge facing drillers. Indeed, in order to design controllers that can eliminate or at least minimize such phenomenon, it is mandatory to know with some degrees of certain how the bit faces these vibrations. In literature, there are many models that have been designed to represent the drill string behaviour under torsional vibrations since they are the most harmful ones. It has been proven that stick-slip phase generated by the torsional vibrations is the generator of other types of phenomena (i.e. Bit bounce and whirling). The main objective of this study is to review all the models and compare them in order to set the advantages and drawback of each of them. Moreover, this comparison has allowed us to determine which model to use for designing robust controllers for mitigating the torsional vibrations, thus, diminish all of its effects and the other type of vibrations. The obtained results have supported and demonstrated the conclusive comparative study
  • No Thumbnail Available
    Item
    Optimal control design for uncertain aerial manipulator system based on an adaptive approach
    (Inderscience Publishers, 2024) Riache, Samah; Kidouche, Madjid; Doghmane, Mohamed Zinelabidine; Tee, Kong Fah
    In this paper, an optimal controller has been proposed for an aerial manipulator (AM) consisting of a quadrotor uncertain system with a two-degrees-of-freedom robotic arm. Wherein, the dynamics of this system have been derived based on Gauss's principle. The employment of this principal has permitted the pinpoint of the inner structure of the uncertain system and its possible moves. It has kept the AM in a very precise formation to analyse its dynamics and propose the suitable control. The proposed controller is designed using an adaptive approach of the non-singular terminal sliding mode technique. The main contribution is that the proposed approach guarantees both the good tracking of the desired trajectories in finite time and the chattering effect attenuation without overestimating the switching control gains. The design does not necessitate a priori knowledge of the upper limits of disturbances; the stability of the system has been established through the utilisation of Lyapunov theory. The simulation results have proved the effectiveness and robustness of the proposed optimal nonlinear terminal sliding mode technique for such an uncertain system in comparison to the sliding mode controller.
  • No Thumbnail Available
    Item
    PID Control Design of Strongly Coupled Axial-Torsional Vibrations in Rotary Drilling Systems
    (Wydawnictwo SIGMA-NOT, 2024) Meddah, Sabrina; Idir, Abdelhakim; Tadjer, Sid Ahmed; Doghmane, Mohamed Zinelabidine; Kidouche, Madjid
    Drilling operations can encounter considerable challenges posed by strong, coupled vibrations that exert a complex influence on rotary drilling system performance. These vibrations are classified into three distinct types based on their propagation direction: axial, lateral, and torsional. Previous research efforts have predominantly focused on examining each vibration type in isolation. However, the effectiveness and resilience of developed controllers are profoundly affected by the often overlooked coupling effects arising from other types of vibrations. In this study, we propose the implementation of a Proportional-Integral-Derivative (PID) controller for the coupled Axial-Torsional vibration system. The research presented herein is dedicated to investigate the performance of the controller under strongly coupled vibrations. To address the dynamic vibrations encountered during drilling, it is imperative to understand the intricate behavior of the drill bit in response to these vibrations before designing controllers to mitigate their impact. Numerous models have been proposed in the existing literature to elucidate the behavior of the drill string under axial-torsional vibrations. The objective of this research is to develop a comprehensive model of the drilling system and investigate the robustness of the PID controller to mitigate the adverse effects of coupled Axial-Torsional vibrations. By effectively analysing the obtained results, this study has contributed to the optimization and improvement of drilling operations under sever coupled vibrations.
  • No Thumbnail Available
    Item
    Real-Time Reduction of rotor position estimation error based on the stator flux Estimation-Combined method for sensorless control of PMSMs drives
    (Praise Worthy Prize S.r.l, 2021) Aibeche, Abderrezak; Akroum, Hamza; Boudouda, Aimad; Kidouche, Madjid; Doghmane, Mohamed Zinelabidine
    This paper presents the implantation and the performance improvement of real-time reduction of rotor position estimation error based on the stator flux estimation-combined method for sensorless control of PMSMs drives. Wherein, the proposed method is designed based on a simple algorithm for accurate estimation and robust control of quasi-exact stator flux and position/speed of PMSMs. A large-speed range of applications in sensorless control strategies is achieved by using the mathematical model of PMSM motor. The latter presents the main idea of the estimators’ structures design. They are generally composed of voltage and current models (VM and CM). However, the dynamic performances of these methods are influenced in the low and high-speed ranges, and they are sensitive to parameters variations. The estimators’ structures are dominated by the current model at the low-speed range, and by the voltage model at the high-speed range. The technique proposed in this study is the combination of the two preceding models; this provides performances’ improvement in the PMSM dynamics for a large speed variation with compensating estimation errors for the two separate methods (VM and CM). The main objective of this combined method is the drawback reduction for the separate use of VM and CM estimators. The algorithm principle is based on exploiting and combining the two estimators while measuring the stator voltages and the currents, in addition to estimating the rotor position and the speed. Furthermore, the performances of the proposed method have been tested and validated through real-time experiments by using dSPACE ds 1104 DSP board
  • No Thumbnail Available
    Item
    Robust decentralized control for a quadrotor attitude
    (2016) Deia, Yacine; Kidouche, Madjid; Ahriche, Aimad; Lamraoui, Oualid
  • No Thumbnail Available
    Item
    Robust sensorless sliding mode flux observer for DTC-SVM-based drive with inverter nonlinearity compensation
    (The Korean Institute of Power Electronics, 2015) Ahriche, Aimad; Kidouche, Madjid; Saad, Mekhilef
  • No Thumbnail Available
    Item
    Rock–bit interaction effects on high-frequency stick-slip vibration severity in rotary drilling systems
    (Emerald, 2021) Mendil, Chafiaa; Kidouche, Madjid; Doghmane, Mohamed Zinelabidine; Benammar, Samir; Tee, Kong Fah
    Purpose: The drill string vibrations can create harmful effects on drilling performance because they generate the stick-slip phenomenon which reduces the quality of drilling and decreases the penetration rate and may affect the robustness of the designed controller. For this reason, it is necessary to carefully test the different rock-bit contact models and analyze their influences on system stability in order to mitigate the vibrations. The purpose of this paper is to investigate the effects of rock-bit interaction on high-frequency stick-slip vibration severity in rotary drilling systems. Design/methodology/approach: The main objective of this study is an overview of the influence of the rock-bit interaction models on the bit dynamics. A total of three models have been considered, and the drilling parameters have been varied in order to study the reliability of the models. Moreover, a comparison between these models has allowed the determination of the most reliable function for stick-slip phenomenon. Findings: The torsional model with three degrees of freedom has been considered in order to highlight the effectiveness of the comparative study. Based on the obtained results, it has been concluded that the rock-bit interaction model has big influences on the response of the rotary drilling system. Therefore, it is recommended to consider the results of this study in order to design and implement a robust control system to mitigate harmful vibrations; the practical implementation of this model can be advantageous in designing a smart rotary drilling system. Originality/value: Many rock-bit functions have been proposed in the literature, but no study has been dedicated to compare them; this is the main contribution of this study. Moreover, a case study of harmonic torsional vibrations analysis has been carried out in well-A, which is located in an Algerian hydrocarbons field, the indices of vibrations detection are given with their preventions
  • No Thumbnail Available
    Item
    Sensor fault detection, localization, and system reconfiguration with a sliding mode observer and adaptive threshold of PMSM
    (2016) Aibeche, Abderrazak; Kidouche, Madjid
    This study deals with an on-line software fault detection, localization, and system reconfiguration method for electrical system drives composed of three-phase AC/DC/AC converters and three-phase permanent magnet synchronous machine (PMSM) drives. Current sensor failure (outage), speed/position sensor loss (disconnection), and damaged DC-link voltage sensor are considered faults. The occurrence of these faults in PMSM drive systems degrades system performance and affects the safety, maintenance, and service continuity of the electrical system drives. The proposed method is based on the monitoring signals of “abc” currents, DC-link voltage, and rotor speed/position using a measurement chain. The listed signals are analyzed and evaluated with the generated residuals and threshold values obtained from a Sliding Mode Current-Speed-DC-link Voltage Observer (SMCSVO) to acquire an on-line fault decision. The novelty of the method is the faults diagnosis algorithm that combines the use of SMCSVO and adaptive thresholds; thus, the number of false alarms is reduced, and the reliability and robustness of the fault detection system are guaranteed. Furthermore, the proposed algorithm’s performance is experimentally analyzed and tested in real time using a dSPACE DS 1104 digital signal processor board