Browsing by Author "Kidouche, M."

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Application of Improved Artificial Neural Network Algorithm in Hydrocarbons’ Reservoir Evaluation: Artificial Intelligence in Renewable Energetic Systems
(2019) Doghmane, Mohamed Zinelabidine; Belahcene, Brahim; Kidouche, M.
The aim of this work is to develop an artificial neural network software tool in Matlab which allows the well logging interpreter to evaluate hydrocarbons reservoirs by classification of its existing facies into six types (clay, anhydrite, dolomite, limestone, sandstone and salt), the advantage of such classification is that it is automatic and gives more precision in comparison to manual recognition using industrial software. The developed algorithm is applied to eleven wells data of the Algerian Sahara where necessary curves (Gama Ray, density curve Rhob, Neutron porosity curve Nphi, Sonic curve dt, photoelectric factor curve PE) for realization of this technique are available. A graphical user interface is developed in order to simplify the use of the algorithm for interpreters
Application of indirect field oriented control with optimum flux for induction machines drives
(Springer, 2010) Grouni, S.; Ibtiouen, R.; Kidouche, M.; Touhami, O.
Automatic control of a heat exchanger in a nuclear power station: The classical and the fuzzy methods
(IEEE, 2019) Mendil, Chafiaa; Kidouche, M.; Doghmane, Mohamed Zinelabidine
Without electricity everyday life would be difficult to be envisaged, it is therefore necessary to know how to produce it effectively and continuously. To meet the growing consumption of electricity, it was crucial to build factories capable of producing electricity with huge capacities. In recent years, nuclear techniques have undergone considerable development, characterized by the implementation of multiple disciplines. Wherein, automation has taken an important part of these developments. Driving the industrial equipment in safety mode, treating the information with many variables and actions' adjustment, can be ensured by analogical/digital automatic systems. This paper highlights control techniques of heat exchanger in a nuclear power station with disturbance compensation systems. Moreover, the fuzzy technique has been proposed to derive the control system. The main objective of this manuscript is to determine a prototype control model for an intelligent heat exchanger in a nuclear power reactor. Experimental data of BRENILLIS power plant has been used for the identification and modeling of the reactor. Furthermore, the transfer functions developed by the C.S.F and “Electricité de France” have been considered for the purpose of automating the nuclear power station
A combined IQG/LTR and fuzzy logic strategy for the improved control of a drum-type boiler-turbine plant
(2009) Habbi, H.; Kidouche, M.; Zelmat, M.
This paper addresses the design of a fuzzy control system with a fuzzy controller and a fuzzy estimator for a fossil-fuelled drum-type boiler-turbine unit. The fuzzy control method is based on a dynamic Takagi-Sugeno (TS) fuzzy model which has been developed in Habbi et al. [Automatica 39 (2003) 1213] for the nonlinear steam power plant. In the design procedure, a dynamics augmentation is first suggested and a dynamic fuzzy augmented system is determined to deal with the non-minimum phase behaviour of the plant. The global fuzzy control system is designed from a local concept viewpoint using the optimal control theory. To assess the performance of the proposed optimal fuzzy controller, simulations under various operation conditions including actuators saturation are performed over a wide operating range of the physical plant
A constructive methodology of Lyapunov function of composite systems with nonlinear interconnection term
(ACTA Press Anaheim, 2006) Kidouche, M.; Charef, A.
For composite systems with a coarse decomposition it is usually more difficult to find a suitable Lyapunov function for the sub-systems that may no longer be of low order, and provides computational and analytical difficulties. In this paper, we present a constructive methodology of Lyapunov function in the case of coarse decomposition to analyze stability of the origin for a general class of nonlinear composite systems expressed in state variables as n first-order nonlinear differential equations. We need to find a storage function to be used as Lyapunov function. A family of this design can be constructed by recursive procedure of a different version of the same basic step: the augmentation by one equation at each step. The present results make use of graph-theoretic decomposition techniques in which the composite systems lead to a sequence of coarser subsystems. Finally, an example is given to illustrate the constructive methodology proposed
Decentralized overlapping control design with application to rotary drilling system
(2021) Doghmane, Mohamed Zinelabidine; Kidouche, M.; Ahriche, A.
The main objective of this paper is the development of overlapping decomposition strategy for con-troller design of rotary drilling systems based on the state feedback technique. The lamped modelof the system has been considered, Graph-based representation has been used to rearrange thestates of the model, and then a new model has been decomposed into subsystems after analyzingthe interconnection terms. The expansion–contraction principle, combined with Lyapunov theory,is used to investigate the global stability of the decomposed system so that controllability of thedesigned controller is guaranteed and its robustness is improved. Moreover, the designed strategyhas been validated with high-frequency mode stick-slip vibrations data measured in an operationalrotary drilling system of an exploration well drilled in an Algerian hydrocarbon field
Direct Torque Control of Three phase Induction Motor drive using Fuzzy Logic controllers for low Torque ripple
(2013) Idir, A.; Kidouche, M.
This paper presents an improved Direct Torque Control (DTC) based on fuzzy logic technique. The major problem that is usually associated with DTC drive is the high torque ripple. To overcome this problem a torque hysteresis band with variable amplitude is proposed based on fuzzy logic. The fuzzy proposed controller is shown to be able to reducing the torque and flux ripples and to improve performance DTC especially at low speed. The validity of the proposed methods is confirmed by the simulative results
Distributed dynamics approximation through lumping and fuzzy clustering : reliability and validity issues
(International Operational Modal Analysis Conference (IOMAC), 2011) Habbi, A.; Kidouche, M.
This paper presents a fuzzy reasoning based approach for modeling the distributed dynamics of a parallel flow heat exchanger. Distributed-parameter and lumped-parameter models of the heat exchanger are first derived. The validity of such model representations is discussed and limitations regarding their use for practical purposes are presented. The alternative modeling approach presented in this work aims at developing a moderately complex model with interpretable structure for the parallel flow heat exchanger which is the main component of a pilot thermal plant. The proposed multivariable fuzzy rule-based model achieves simultaneous prediction of the air and water temperatures. The experimental study conducted on the real plant shows the performance of the fuzzy model in capturing the key dynamical properties of the physical plant over a wide operating range and under varying dynamics. Copyright © (2011) by International Operational Modal Analysis Conference (IOMAC) All rights reserved
A dspace dsp control platform for v/f controlled induction motor drive and parameters identification
(2011) Akroum, Hamza; Kidouche, M.; Aibeche, Abderrazak
This paper presents a full digital implementation of open loop and closed loop Volt-per-Hertz (V/F) Controlled Induction Motor Drive with dSPACE DS 1104 Hardware/Software and Matlab/Simulink environment for educational purpose. A feature of this environment is a simple user interface, which requires a basic knowledge of Matlab/Simulink for designing the controller and motor parameter identification. Advances in Computer, Communication, Control and Automation Advances in Computer, Communication, Control and Automation Look Inside Other actions Export citation About this Book Reprints and Permissions Add to Papers Share Share this content on Facebook Share this content on Twitter Share this content on LinkedIn
Experimental results of sensorless rotor field oriented control using MRAS
(2014) Akroum, Hamza; Kidouche, M.; Aibeche, Abderrazak
This work deals with design and implementation of sensorless rotor field oriented control using model reference adaptive system (MRAS) of induction motor (IM) drives. SVPWM, using an injected Zero-Sequence Signal (ZSS), is used for controlling the motor. Proportional Integral Controllers with antiwindup are designed. A 3Kw, 3-phase, 50Hz, 1420rpm, induction motor and a dSPACE DS1104 hardware/software are used to carry out the control application. The experimental results show the effectiveness and the limitation of the control method
The first integral approach in stability problem of large scale nonlinear dynamical systems
(2008) Kidouche, M.; Habbi, H.; Zelmat, M.; Grouni, S.
In analyzing large scale nonlinear dynamical systems, it is often desirable to treat the overall system as a collection of interconnected subsystems. Solutions properties of the large scale system are then deduced from the solution properties of the individual subsystems and the nature of the interconnections. In this paper a new approach is proposed for the stability analysis of large scale systems, which is based upon the concept of vector Lyapunov functions and the decomposition methods. The present results make use of graph theoretic decomposition techniques in which the overall system is partitioned into a hierarchy of strongly connected components. We show then, that under very reasonable assumptions, the overall system is stable once the strongly connected subsystems are stables. Finally an example is given to illustrate the constructive methodology proposed
Hybrid Backstepping Sliding Mode Controller for Stick–slip Vibrations Mitigation in Rotary Drilling Systems
(Taylor et francis, 2021) Mendil, Chafiaa; Kidouche, M.; Doghmane, M. Z.
The main objective of this paper is to suppress the stick–slip vibrations in the drilling system so that the drill bit can follow the desired nominal angular velocity of the Top Drive in an optimal time. Hence to protect drilling equipment from hazards and increase drilling performances by decreasing the non-productive time (NPT). Three control systems have been proposed to achieve this objective, a sliding controller is firstly designed and then a backstepping approach is discussed secondly. Furthermore, a hybridization of sliding mode control with a backstepping approach has been proposed on the so-called hybrid backstepping sliding mode controller. The latter has not been proposed before in the literature for rotary drilling systems. Moreover, two torsion models of the system have been discussed for different degrees of freedom. Based on the comparison between controllers’ responses, the effectiveness and the robustness of the hybrid controller have been demonstrated and highlighted, whose fast response can protect the drilling equipment from hazards that may be caused by the slip phase of the vibrations. Hence, it is recommended to implement the proposed controller in smart rotary drilling systems for petroleum industry.
Improvement approach on rotor time constant adaptation with optimum flux in IFOC for induction machines drives
(2008) Grouni, S.; Ibtiouen, R.; Kidouche, M.; Touhami, O.
Induction machine models used for steady-state and transient analysis require machine parameters that are usually considered design parameters or data. The knowledge of induction machine parameters is very important for Indirect Field Oriented Control (IFOC). A mismatched set of parameters will degrade the response of speed and torque control. This paper presents an improvement approach on rotor time constant adaptation in IFOC for Induction Machines (IM). Our approach tends to improve the estimation accuracy of the fundamental model for flux estimation. Based on the reduced order of the IM model, the rotor fluxes and rotor time constant are estimated using only the stator currents and voltages. This reduced order model offers many advantages for real time identification parameters of the IM
Modeling of Torsional Vibrations Dynamic in Drill-String by Using PI-Observer
(Springer, 2021) Riane, Rami; Kidouche, M.; Doghmane, Mohamed Zinelabidine; Illoul, R.
Torsional vibrations, appeared in drill string of oil well, are one of the major cause of drilling failures, in most of cases the penetration rate reduction and drilling costs expansion. The driller’s intervention is basically based on parameters manipulation to mitigate torsional vibrations, precisely variation of the angular velocity of the Top drive. The weight on bit variation is also proven to be practically effective in the reduction of such vibration but with a considerable time delay. In this paper, we modeled the nonlinear dynamic of the down hole using a PI Observer, thus, we estimate the downhole angular speed and perceive the torsional vibrations as soon as they appear so that the time delay is minimized. The obtained model is useful to design robust controller to mitigate the torsional vibrations in real-time.
A New Decomposition Strategy Approach Applied for a Multi-Stage Printing System Control Optimization
(IEEE, 2015) Doghmane, Mohamed Zinelabidine; Kidouche, M.; Habbi, H.; Bacetti, A.; Bellahcene, B.
Large scale dynamic systems are one of the challenges facing control engineer today. The design of controllers is an intractable problem when applied to problems of high dimension with intricate structure. Many strategies have been recently developed to deal with decomposition of complex systems, these strategies are based on the idea of subdividing the whole system into smaller subsystems less difficult in study than the original one. The aim of our paper is to apply the approach of multi-overlapping control design to multistage printing systems controller. Our principle objective in this paper is to use the advantages of multi-overlapping decomposition technique and its application in order to have a more robust controller of multistage printing system. This approach leads to computationally efficient design strategies that are well suited for large scale applications. Multistage printing system model is presented to illustrate the effectiveness of the proposed algorithm
Novel loss optimization in induction machines with optimum rotor flux control
(HyperSciences, 2010) Grouni, S.; Ibtiouen, R.; Kidouche, M.; Touhami, O.
This paper focus on seeking optimum rotor flux which optimizes total energy control under practical constraints of currents, voltages and speed measurements. Improved flux optimization method is an important criteria to evaluate losses in indirect field oriented control for induction machine drives. The practical usefulness of our control models are evaluated and confirmed through experiments using an induction machine (1.5kW/380V). Simulation and experimental investigation tests are provided to evaluate the consistency and performance of the proposed control model
On lyapunov stability of interconnected nonlinear systems : recursive integration methodology
(Springer Netherlands, 2010) Kidouche, M.; Habbi, H.
This paper evolved from an endeavor to construct a Lyapunov function of interconnected nonlinear systems described by ordinary differential equations. This construction is an intractable problem and crucial part of the design when applied to problems of high dimension with intricate structure. The design obtained is applicable if the system under investigation is a generalization of the strict feedback form and whose dependency graphs satisfies the decomposition into lower triangular form. This design is mainly developed for moderated nonlinear continuous time dynamical systems. However, as we show in the example, it is emphasized that the present results can be extended to discontinuous systems provided they can be approximated by smooth modifications. A key step in our approach which based on back integrating procedure is to decompose the interconnected system into subsystems using graph theoretic decomposition. In the proposed methodology, the postulated Lyapunov function is obtained by backward integration the composite system trajectory. This novel approach leads straightforward and by one shot methods to both Lyapunov function of the composite system and its time derivative. A practical example is presented to illustrate the effectiveness of the results
Optimal Decentralized State Control of Multi-machine Power System Based on Loop Multi-overlapping Decomposition Strategy
(Springer, 2021) Doghmane, Mohamed Zinelabidine; Kidouche, M.
Most of large scale systems are described by their complex mathematical model’s structures which caused by the overlapping between its inputs and outputs variables. In many cases, the complexity of the model may lead to lose some part of the input-output signals. Besides, it obscures study and analysis of such type of systems for researchers. Many studies have been discussed the design of simpler controller based on the mathematical structure of the systems’ model, wherein the aim was to decrease control complexity. The main objective of this manuscript is to benefit from the multi-overlapping structure of complex systems in order to design a simpler controller using loop approach; the latter allows highlighting the advantages of applying the overlapping decomposition strategy in order to improve the robustness of the designed controller. Therefore, it can be considered as an efficient strategy suitable for such type of large scale systems. A multi-machine power system with loop structure is considered in order to demonstrate the usefulness of the proposed design.
A perfectly symmetrical configuration in dual-bridge inverter topology for maximum mitigation of emi, common-mode voltages and common-mode currents
(2010) Akroum, Hamza; Kidouche, M.; Grouni, S.; Zelmat, M.
Real time rotor flux estimation for induction machine drives : an experimental approach
(2010) Grouni, S.; Ibtiouen, R.; Kidouche, M.; Touhami, O.