M. LOUKAL Keltoum

MCA

Directory of teachers

Department

DEPARTEMENT OF: ELECTRICAL ENGINEERING

Research Interests

Les commandes non linéaires les techniques d'intelligence artificielle les commandes tolérantes aux féfauts, réglages continues et échantillonnés

Contact Info

University of M'Sila, Algeria

Email : keltoum.loukal@univ-msila.dz

On the Web:

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Recent Publications

2024-11-06

PW_Modeling and identification of systems (مكتوبة باللغة الانجليزية)

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Citation

M. LOUKAL Keltoum, (2024-11-06), "PW_Modeling and identification of systems (مكتوبة باللغة الانجليزية)", [national] M'sila university

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Sampled Servos and Numerical Regulation(مكتوبة باللغة الانجليزية)

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Citation

M. LOUKAL Keltoum, (2024-11-06), "Sampled Servos and Numerical Regulation(مكتوبة باللغة الانجليزية)", [national] M'sila university

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regulation and control(مكتوبة ومدرسة باللغة الانجليزية)

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Citation

M. LOUKAL Keltoum, (2024-11-06), "regulation and control(مكتوبة ومدرسة باللغة الانجليزية)", [national] M'sila university

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2024-10-19

SABO optimization algorithm-based backstepping controller for DSIG within a wind turbine system

Tuning the PI and backstepping (BS) controllers is a critical issue for ensuring good tracking performance and stable operation
of the wind turbine based on dual-stator induction generator (WT-DSIG) systems. However, no existing research has
yet comprehensively tuned the control parameters. Therefore, this paper proposes an innovative tuning method using the
subtraction-average-based optimizer (SABO) to ensure optimal PI and backstepping controller parameters tuning. The optimally
tuned controllers-based field-oriented control (FOC) scheme is applied for a WT-DSIG system. This research aims to
offer an easy and effective method for optimal tuning of the control parameters, which contributes to improving the control
performance, hence the WT-DSIG system’s stability. The proposed method is superior to the existing techniques, as it uses
the SABO, a metaheuristic stochastic algorithm, to simultaneously optimize the natural frequencies of the flux, speed, and
current PI controllers and the backstepping controller’s gains. To assess the effectiveness of the proposed control approach,
a hardware-in-the-loop (HIL) implementation is carried out using the PLECS/RT-Box real-time simulator. The HIL findings
through comparative study further confirm the superiority of the optimally designed controllers over the conventional techniques,
highlighting significant enhancements in dynamic, steady state, THD, and time-integral performance criteria, ISE,
and IAE.
Citation

M. LOUKAL Keltoum, (2024-10-19), "SABO optimization algorithm-based backstepping controller for DSIG within a wind turbine system", [national] Electrical Engineering , The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024

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2024-07-19

Mathematical Modeling and an Adaptive PID Control of Quadrotor

The objective of this paper is to develop an adaptive proportional-integral-derivative control for a nonlinear quadrotor system. we start by modeling of this system with state space and presenting the idea of this adaptive control. We presented the theory of the type 2 fuzzy logic, in order to use in the adaptation of the gains parameters of the PID control. The adaptive PID (T2FAPID) technique are applied to the unmanned aerial vehicle (UAV) system, their performance results are compared to a designed non adaptive PID controller. The effectiveness of the suggested adaptive methods is demonstrated in simulations with a quaternion-based nonlinear dynamic model of a quadrotor derived in this work. The results of the study prove the higher performance of the T2FAPID technique in regulating the attitude stabilization of the quadrotor.
Citation

M. LOUKAL Keltoum, (2024-07-19), "Mathematical Modeling and an Adaptive PID Control of Quadrotor", [international] 12th International Conference on Applied Analysis and Mathematical Modeling (ICAAMM-2024) , istanbul,Turkie

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Modeling and interval type 2 fuzzy logic controller of manipulator robot

This paper presents the interval type 2 fuzzy logic controller (IT2FLC) for a manipulator robot system. After dynamic modeling and system state modeling, we presented the method of the fuzzy logic control, the efficient interval type-2 fuzzy controller is designed for trajectory tracking of two DOF robotic manipulator. A comparative study is made between the proposed interval type 2 fuzzy logic control technique in the presence of variation of parameters. The results obtained show that the proposed IT2FLC has a superior robustness against difference of parameters where the two DOF robotic manipulator system functions with satisfactory performance.
Citation

M. LOUKAL Keltoum, (2024-07-19), "Modeling and interval type 2 fuzzy logic controller of manipulator robot", [international] INTERNATIONAL CONFERENCE ON APPLIED ANALYSIS AND MATHEMATICAL MODELING, 2024 , istanbul,Turkie

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2023-09-19

Fault tolerant control of two tanks system using gain-scheduled type-2 fuzzy sliding mode controller

To save the robustness of type 2 fuzzy logic control technique and to avoid the high energy consumption that represents the sliding mode control (SMC) technique control technique, without failing the performance of the system, we propose a new fault tolerant control method based on gain-scheduled sliding mode control with interval type 2 fuzzy logic (FTCGST2FSMC) applied to the hydraulic system (two tanks system) with an actuator fault. The proposed control scheme avoids a difficult modeling, due to the chatter effect of the SMC, guarantees the stability studied by Lyapunov with the robustness of the system. The gains of the control with the SMC controller are modified and changed by an adaptation with a technique based on type 2 fuzzy logic, used to improve the gains of the controller when the fault is added, the proposed FTCGST2FSMC controller has been compared with the sliding mode controller. The results obtained confirm the robustness and the performance of this method, in the presence of the actuator fault effect.
Citation

M. LOUKAL Keltoum, (2023-09-19), "Fault tolerant control of two tanks system using gain-scheduled type-2 fuzzy sliding mode controller", [national] IAES International Journal of Artificial Intelligence (IJ-AI) , IAES

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2023-07-10

Passive fault-tolerant control method based on feedback linearization control technique of two tanks system

The aim of this paper is to develop a passive actuator fault-tolerant control law for a highly nonlinear
hydraulic system with two reservoirs using the feedback linearization control (FLC). You start by modeling this
system with state space and presenting the theory of this command. We presented the actuator fault (additive fault)
by augmentation in the law control. The passive fault-tolerant control method based on feedback linearization
control technique (PFTCFLC) are implemented to the two tanks system, their performance is compared with the
PID control technique. The results of the study demonstrate the superior performance of the PFTCFLC technique
in regulating the level of the hydraulic system, indicating its robustness and fault tolerance.
Citation

M. LOUKAL Keltoum, (2023-07-10), "Passive fault-tolerant control method based on feedback linearization control technique of two tanks system", [international] (hybrid ) International Conference on Nonlinear Science and Complexity (ICNSC23) , Istanbul-Turkey

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Backstepping fault-tolerant control for a Satlan system with actuator fault

This paper presents the fault tolerant control for a satellite (Satlan system) based on backstepping theory
with actuator fault can be modeled by a step signal (additive fault). After dynamic modeling and system state modeling,
we presented the technique of the backstepping control. We presented the actuator fault by augmentation
in the control of this system. The proposed FTC is able to maintain acceptable performance in the control law
and guarantees robustness against uncertainties and external disturbances. A comparative study is made between
the proposed fault tolerance control and the PID control technique in the presence of actuator fault. The results
obtained show that the proposed FTC has better robustness against actuator fault where the Satlan system operates
with acceptable performance.
Citation

M. LOUKAL Keltoum, (2023-07-10), "Backstepping fault-tolerant control for a Satlan system with actuator fault", [international] (hybrid ) International Conference on Nonlinear Science and Complexity (ICNSC23) , Istanbul-Turkey

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2022

Fuzzy Gains-scheduled Actuator Fault-Tolerant Control Comparative Study for Two Tanks Level System

The aim of this work is to develop the actuator fault-tolerant control laws based on fuzzy logic applied to the model of a hydraulic system (tow tanks system) which is highly nonlinear. After dynamic modeling and system state modeling, we presented the theory of the two commands used in this work. First, we proposed a feedback linearization control (FLC), then we approached a synthesis of the controls with sliding mode control (SMC), The proposed methods make the hybridization between the two techniques, with the fuzzy technique, this last used to adjust the gains of the FLC and the SMC, finally a comparative study between these control laws and the performances of each and a discussion in a brief general conclusion.
Citation

M. LOUKAL Keltoum, (2022), "Fuzzy Gains-scheduled Actuator Fault-Tolerant Control Comparative Study for Two Tanks Level System", [international] 2nd International Conference on Engineering and Applied Natural Sciences , Konya, TURKEY

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Fuzzy Adaptive Gains Fault Tolerant Control Based on Feedback Linearization of the Two Tanks System

Abstract—To keep the robustness and the advantage of the fuzzy logic control technique and to reduce the high energy level of the feedback linearization technique, we propose a new FTC method based on the feedback linearization control (FLC) with adaptive gains with fuzzy logic (FTCFAGFLC) applied to the two tanks coupled system with an actuator fault. The proposed control scheme makes the hybridization between the two techniques, intelligent and guarantees the stability studied by the feedback linearization technique. An adaptation with a fuzzy technique adjusted the parameter of the FLC used to adjust the controller gains in real-time and the proposed FTCFAGFLC was compared to the FLC. The results obtained confirm the effectiveness of the proposed method in the presence of the actuator fault effect.
Citation

M. LOUKAL Keltoum, (2022), "Fuzzy Adaptive Gains Fault Tolerant Control Based on Feedback Linearization of the Two Tanks System", [international] The 2022 InternationalThe 2022 International Conference of advanced Technology in Electronic and Electrical Engineering (ICATEEE) , University Mohamed Boudiaf- M'sila, Algeria

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2019

INTERVAL TYPE 2 FUZZY GAIN-ADAPTIVE PI CONTROLLER OF BRUSHLESS DC MOTOR

This paper presents a comparison between an Interval Type 2 Fuzzy Gain Adaptive PI and a Conventional PI controllers used for speed control of an Electronically Commutated Motor (BrushLess DC Motor). In particular, the introduction of this paper presents a type 2 fuzzy logic Gain Adaptive PI controller of machines, in the first part we presents a description of the mathematical model of BLDCM, and an strategy method is proposed for the speed control of this motor in the presence of the variations parametric, A interval type-2 fuzzy inference system is used to adjust in real-time the controller gains. The obtained results show the efficacy of the proposed method.
Citation

M. LOUKAL Keltoum, (2019), "INTERVAL TYPE 2 FUZZY GAIN-ADAPTIVE PI CONTROLLER OF BRUSHLESS DC MOTOR", [international] 5TH INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING , Istanbul

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2017

Speed Control of a Doubly Fed Induction Motor Based on Fuzzy Gain- Adaptive IP

This paper presents a comparison between a fuzzy-IP gain adaptive controller and a conventional IP controller used for speed
control with a direct stator flux orientation control of a doubly fed induction motor. In particular, the introduction part of the
paper presents a Direct Stator Flux Orientation Control (DSFOC), the first part of this paper presents a description of the
mathematical model of DFIM, and an adaptive IP controller is proposed for the speed control of DFIM in the presence of the
variations parametric, A fuzzy inference system is used to adjust in real-time the controller gains. The obtained results show the
efficacy of the proposed method.
Citation

M. LOUKAL Keltoum, Leila-BENALIA, , (2017), "Speed Control of a Doubly Fed Induction Motor Based on Fuzzy Gain- Adaptive IP", [national] International Journal of Information Technology and Electrical Engineering , ITEE

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Speed Control of a Doubly-Fed Induction Motor (DFIM) Based on Fuzzy Sliding Mode Controller

The mean of this paper is fuzzy sliding mode control of a Doubly Fed Induction Motor (DFIM); it’s the
coupling of the fuzzy logic control and sliding mode control (SMC). The use of the sliding mode method provides
very acceptable performance for DFIM control, and the chattering phenomenon effect is also eliminated by the fuzzy
logic mode. In the first part, we carried out briefly a study of modeling on the full system. This model is intended to
facilitate the procedures for setting and controlling the speed. We introduced the parameter variation to test the
robustness of the control laws. The results of our simulations are conducted to validate the theory and indicate that
the control performance of the DFIM is satisfactory and the proposed fuzzy sliding mode control (FSMC) can
achieve favorable tracking performance.
Citation

M. LOUKAL Keltoum, BENALIA Leila, , (2017), "Speed Control of a Doubly-Fed Induction Motor (DFIM) Based on Fuzzy Sliding Mode Controller", [national] International Journal of Intelligent Engineering and Systems , INASS

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Speed Control of a Brushless DC Motor (BLDCM) Based on Fuzzy Gain-Adaptive PI

This paper presents a comparison between a fuzzy gain adaptive controller and a conventional PI controller used for speed control of a Brushless DC motor (BLDCM) or electronically commutated (ECM). First, we establish a dynamic model for direct current to the input of the switch that the electromagnetic torque of BLDCM is proportional to this current. This model is intended to facilitate the procedures for setting and controlling the current, and an adaptive PI controller is proposed for the speed control of BLDCM in the presence of the variations parametric. A fuzzy-Type 1 inference system is used to adjust in real-time the controller gains. The obtained results show the efficacy of the proposed method.
Citation

M. LOUKAL Keltoum, (2017), "Speed Control of a Brushless DC Motor (BLDCM) Based on Fuzzy Gain-Adaptive PI", [international] 10th INTERNATIONAL CONFERENCE on ELECTRICAL and ELECTRONICS ENGINEERING , Bursa,TURKEY

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2016

INTERVAL TYPE-2 FUZZY GAIN-ADAPTIVE CONTROLLER OF A DOUBLY FED INDUCTION MACHINE (DFIM)

This paper presents a comparison between an Interval Type-2 Fuzzy Gain-Adaptive IP
(IT2FGAIP) controller and a conventional IP controller used for speed control with a direct
stator flux orientation control of a doubly fed induction motor. In particular, the introduction
part of the paper presents a Direct Stator Flux Orientation Control (DSFOC), the first part of
this paper presents a description of the mathematical model of DFIM, and an adaptive IP
controller is proposed for the speed control of DFIM in the presence of the variations
parametric, A interval type-2 fuzzy inference system is used to adjust in real-time the
controller gains. The obtained results show the efficacy of the proposed method.
Keywords: doubly fed induction motor; DFIM; direct stator flux orientation control; interval
type-2 fuzzy gain-adaptive IP controller; IT2FGAIP; IP controller.
Citation

M. LOUKAL Keltoum, Leyla. BENALIA, , (2016), "INTERVAL TYPE-2 FUZZY GAIN-ADAPTIVE CONTROLLER OF A DOUBLY FED INDUCTION MACHINE (DFIM)", [national] Journal of Fundamental and Applied Sciences , ISSN 1112-9867

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2015

fault-tolerant fuzzy gain-adaptive PID control for a 2 DOF helicopter (TRMS system)

In this paper, a Fault-Tolerant control of 2 DOF
Helicopter (TRMS System) Based on Fuzzy Gain-Adaptive PID is
presented. In particular, the introduction part of the paper presents a
Fault-Tolerant Control (FTC), the first part of this paper presents a
description of the mathematical model of TRMS, an adaptive PID
controller is proposed for fault-tolerant control of a TRMS helicopter
system in the presence of actuator faults, A fuzzy inference scheme is
used to tune in real-time the controller gains, The proposed adaptive
PID controller is compared with the conventional PID. The obtained
results show the effectiveness of the proposed method
Citation

M. LOUKAL Keltoum, Kamel KARA, , (2015), "fault-tolerant fuzzy gain-adaptive PID control for a 2 DOF helicopter (TRMS system)", [international] international scientific research and experimental development , istanbul, turkey

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speed control of doubly fed induction motor based on fuzzy logic contoller

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Citation

M. LOUKAL Keltoum, Leila. BENALIA, , (2015), "speed control of doubly fed induction motor based on fuzzy logic contoller", [national] the first national coference on electronics and new technologies (NCENT'2015) , M'sila, Algeria

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Type-2 Fuzzy Logic Control of a Doubly-Fed Induction Machine (DFIM)

The fuzzy controllers have demonstrated their effectiveness in the control of nonlinear systems, and in many cases have established their robust and that their performance is less sensitive to parameter variations over conventional controllers. In this paper, Interval Type-2 Fuzzy Logic Controller (IT2FLC) method is proposed for controlling the speed with a direct stator flux orientation control of doubly-fed induction motor (DFIM), we made a comparison between the Type-1 Fuzzy Logic Control (T1FLC) and IT2FLC of the DFIM, first a modeling of DFIM is expressed in a (d-q) synchronous rotating frame. After the development and the synthesis of a stabilizing control laws design based on IT2FLC. We use this last approach to the control of the DFIM under different operating conditions such as load torque and in the presence of parameter variation. The obtained simulation results show the feasibility and the effectiveness of the suggested method.
Citation

M. LOUKAL Keltoum, Benalia Leila, , (2015), "Type-2 Fuzzy Logic Control of a Doubly-Fed Induction Machine (DFIM)", [national] IAES International Journal of Artificial Intelligence (IJ-AI) , ISSN: 2252-8938

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2012

Super Twisting Control Algorithm Applied to the Brushless DC Motor (BLDCM)

This work relates to the super twisting algorithm
control of brushless DC motor (BLDCM) or electronically
commutated (ECM). First, we establish a dynamic model for
direct current to the input of the switch that the electromagnetic
torque of BLDCM is proportional to this current. This model is
intended to facilitate the procedures for setting and controlling
the current. In this paper a recent method called super twisting
algorithm is applied to the BLDCM, in order to avoid the
chattering problem and to improve control performance. High
order techniques allow us to keep the main advantages of the
classical sliding mode and to remove the chattering problem.
Citation

M. LOUKAL Keltoum, Leila BENALIA, Mohamed. Chemachema, H. Chekireb, , (2012), "Super Twisting Control Algorithm Applied to the Brushless DC Motor (BLDCM)", [international] 4th INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING , Alger,algeria

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