M. RAHALI Hilal

MCA

Directory of teachers

Department

DEPARTEMENT OF: ELECTRICAL ENGINEERING

Research Interests

commande des systèmes Électriques.

Contact Info

University of M'Sila, Algeria

Email : hilal.rahali@univ-msila.dz

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Recent Publications

2025-01-02

Robust adaptive fuzzy type-2 fast terminal sliding mode control of robot manipulators in attendance of actuator faults and payload variation

This study presents a robust control method for the path following problem of the PUMA560 robot. The technique is based on the Adaptive Fuzzy Type-2 Fast Terminal Sliding Mode Control (AFT2FTSMC) algorithm and is designed to handle actuator faults, uncertainties (such as payload change), and external disturbances. The aim of this study is to utilize the Fast Terminal Sliding Mode Control (FTSMC) approach in order to ensure effective compensation for faults and uncertainties, minimize tracking error, reduce the occurrence of chattering phenomena, and achieve rapid transient response. A novel adaptive fault tolerant Sliding Mode Control (SMC) approach is developed to address the challenges provided by uncertainties and actuator defects in real robotics tasks. Originality. The present work combined the AFT2FTSMC algorithm in order to give robust controllers for trajectory tracking of manipulator’s robot in presence parameters uncertainties, external disturbance, and faults. We use an adaptive fuzzy logic system to estimate the robot’s time-varying, nonlinear, and unfamiliar dynamics. A strong adaptive term is created to counteract actuator defects and approximation errors while also guaranteeing the convergence and stability of the entire robot control system. Novelty. The implemented controller effectively mitigates the chattering problem while maintaining the tracking precision and robustness of the system. The stability analysis has been conducted using the Lyapunov approach.
Citation

M. RAHALI Hilal, (2025-01-02), "Robust adaptive fuzzy type-2 fast terminal sliding mode control of robot manipulators in attendance of actuator faults and payload variation", [national] Electrical Engineering & Electromechanics , National Technical University "Kharkiv Polytechnic Institute"

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2024-11-24

Effects of DC Bus Short-Circuit Faults on the Electrical and Mechanical Performance of Induction Motors

This paper provides an in-depth analysis of the
electrical and mechanical behavior of induction motors under DC
bus short-circuit conditions. It introduces a novel detection
method that utilizes the Hilbert-Huang spectral envelope of the
stator current to identify and locate DC bus short-circuits. The
simulation results confirm the effectiveness of this fault detection
and localization approach, demonstrating its ability to address
various operational degradations in induction motors caused by
DC bus short-circuits.
Citation

M. RAHALI Hilal, (2024-11-24), "Effects of DC Bus Short-Circuit Faults on the Electrical and Mechanical Performance of Induction Motors", [national] The 2nd National Conference on Electronics, Electrical Engineering, Telecommunications, and Computer Vision (C3ETCV’24) , Mila, Algeria

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Detection of a Two-Level Inverter Open-Circuit Fault Using the Continuous Wavelet Transforms Technique

Three-phase static converters with voltage structure
are widely used in many industrial systems. In order to prevent
the propagation of the fault to other components of the system
and ensure continuity of service in the event of a failure of the
converter, efficient and rapid methods of detection and
localization must be implemented. This paper work addresses a
diagnosis technique based on the continuous wavelet transforms
(CWT) for the detection of an inverter IGBT open-circuit switch
fault. To illustrate the merits of the technique and validate the
results, experimental tests are conducted using a built voltage
inverter fed induction motor. The inverter is controlled by the
SVM control strategy.
Citation

M. RAHALI Hilal, (2024-11-24), "Detection of a Two-Level Inverter Open-Circuit Fault Using the Continuous Wavelet Transforms Technique", [national] The 2nd National Conference on Electronics, Electrical Engineering, Telecommunications, and Computer Vision (C3ETCV’24) , Mila, Algeria

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2024-11-04

Adaptive Integral Sliding Mode Control with Chattering Elimination Considering the Actuator Faults and External Disturbances for Trajectory Tracking of 4Y Octocopter Aircraft

This paper presents a control strategy for a 4Y octocopter aircraft that is influenced by
multiple actuator faults and external disturbances. The approach relies on a disturbance observer,
adaptive type-2 fuzzy sliding mode control scheme, and type-1 fuzzy inference system. The proposed
control approach is distinct from other tactics for controlling unmanned aerial vehicles because it
can simultaneously compensate for actuator faults and external disturbances. The suggested control
technique incorporates adaptive control parameters in both continuous and discontinuous control
components. This enables the production of appropriate control signals to manage actuator faults and
parametric uncertainties without relying only on the robust discontinuous control approach of sliding
mode control. Additionally, a type-1 fuzzy logic system is used to build a fuzzy hitting control law to
eliminate the occurrence of chattering phenomena on the integral sliding mode control. In addition,
in order to keep the discontinuous control gain in sliding mode control at a small value, a nonlinear
disturbance observer is constructed and integrated to mitigate the influence of external disturbances.
Moreover, stability analysis of the proposed control method using Lyapunov theory showcases its
potential to uphold system tracking performance and minimize tracking errors under specified
conditions. The simulation results demonstrate that the proposed control strategy can significantly
reduce the chattering effect and provide accurate trajectory tracking in the presence of actuator faults.
Furthermore, the efficacy of the recommended control strategy is shown by comparative simulation
results of 4Y octocopter under different failing and uncertain settings.
Citation

M. RAHALI Hilal, (2024-11-04), "Adaptive Integral Sliding Mode Control with Chattering Elimination Considering the Actuator Faults and External Disturbances for Trajectory Tracking of 4Y Octocopter Aircraft", [national] Processes , MDPI

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2024-10-01

Detection and Localization of Phase Insulation Fault in a Set Inverter-Induction Motor

Stator current analysis for preventive maintenance is an essential tool for industries. Its use is intended to serve three levels of analysis: supervision, diagnosis and monitoring of the state of damage to equipment. The main objective of this paper is to propose a diagnosis and monitoring method based on the analysis of the stator current for the detection and localization of a short-circuit fault occurred on the inverter (insulation fault of a phase). The proposed method uses signal processing techniques (temporal and spectral domain) combined with a machine learning tech-nique to locate the faulty phase. The study begins with the application of the fast Fourier transform (FFT) to detect the harmonic characterizing the short-circuit fault of a phase of the inverter, and then a statistical study based on the skewness calcu-lation is performed at the stator current spectrum for each phase. The second part of the study applies the random forest RF to locate the faulty phase. The features used to train the RF model are the amplitude of the harmonic f 150 and the value of the skewness. The results obtained by RF show a good performance with a very high classification rate equal to 98.98%.
Citation

M. RAHALI Hilal, (2024-10-01), "Detection and Localization of Phase Insulation Fault in a Set Inverter-Induction Motor", [national] Lecture Notes in Electrical Engineering , Springer Nature Singapore Pte Ltd. 2024

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2024-09-15

ENHANCED DIAGNOSIS AND MONITORING OF BROKEN ROTOR BAR FAULTS IN INDUCTION MOTORS USING A COMBINED CEEMDAN-MLP APPROACH

This paper presents a novel approach for diagnosing and monitoring Broken Rotor Bar (BRB) faults in induction motors through vibration signal analysis. The method integrates advanced signal processing techniques such as the Hilbert Huang Transform (HHT) with machine learning methods, specifically Multilayer Perceptron (MLP). The study initiates with an HHT application to identify fault-related harmonics, achieved through complete Empirical Ensemble Mode Decomposition with Adaptive Noise (CEEMDAN) of the vibration signal (Vx), producing intrinsic mode functions (IMFs). A statistical analysis, employing correlation coefficients (CC), facilitates the selection of relevant IMFs indicative of BRB faults. IMFs with CC values equal to or greater than 0.2, notably IMF1, IMF2, IMF3, and IMF4, appear to be informative. Following IMF selection, signal reconstruction ensues by incorporating these useful IMFs. After rebuilding the signal, we use global thresholding based on a statistical analysis that includes Root Mean Square (RMS) and Energy Coefficient (EC) calculations. The Signal Reconstruction Denoising (SRD) meets the criteria for selection. Spectral envelope analysis of SRD is then employed for BRB fault detection. The subsequent phase employs a Multi-Layer Perceptron (MLP) for BRB localization. Features utilized for training the MLP model include EC and various frequency components (fvb-, fvb+, 2fvb-, 2fvb+, 4fvb-, 4fvb+, 6fvb-, 6fvb+, 8fvb-, and 8fvb+). Results from MLP demonstrate exceptional performance, achieving a classification rate of 99.99%. The proposed CEEMDAN-MLP method exhibits robust efficiency, validated by experimental results, and offers promising prospects for BRB fault diagnosis and monitoring in induction motors.
Citation

M. RAHALI Hilal, (2024-09-15), "ENHANCED DIAGNOSIS AND MONITORING OF BROKEN ROTOR BAR FAULTS IN INDUCTION MOTORS USING A COMBINED CEEMDAN-MLP APPROACH", [national] METROLOGY AND MEASUREMENT SYSTEMS , PAN

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2024-07-19

Parallel Active Filter Analysis, Control, and Diagnosis

In this work we expose the problem of current degradation in electrical installations, which arises directly from
the proliferation of non-linear loads, to solve it, we used a two-level inverter as a parallel active filter, which injects harmonic
currents at the connection point with a compensation method called the instantaneous active and reactive power method. The
second part in this work we are interested in the problems of detection and localization of some faults in a voltage inverter used
as a parallel active filter which is intended for the filtering of harmonic currents with the compensation of reactive energy. To
do this, a series of simulation tests, for the different defects considered, must be carried out in order to extract the different
information contained in the electrical signals from the inverter.
Citation

M. RAHALI Hilal, (2024-07-19), "Parallel Active Filter Analysis, Control, and Diagnosis", [international] INTERNATIONAL CONFERENCE ON APPLIED ANALYSIS AND MATHEMATICAL MODELING (ICAAMM24) , Tukey

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Comparative Analysis between Adaptive type-1 Fuzzy Field-Oriented Control and hybrid Sliding Mode-Backstepping Control of a Double Star Induction Machine (DSIM)

In this work we have opted for a comparative study between two different control strategies for the double star induction
machine (DSIM). The DSIM is fed by two cascaded two-level voltage inverter using the pulse-width modulation (PWM)
control strategy. The two hybrid nonlinear controls studied and applied are increasingly oriented towards the application of
modern control techniques, the first is the Adaptive type-1 Fuzzy Field-Oriented Control based on PI regulators by rotor flux
orientation and uses a rotor flux estimator and with a hybrid control on sliding mode control synthesized by backstepping, to
regulate the speed of a dual star induction machine DSIM in order to compare the performances of the system using these two
control methods.
Citation

M. RAHALI Hilal, (2024-07-19), "Comparative Analysis between Adaptive type-1 Fuzzy Field-Oriented Control and hybrid Sliding Mode-Backstepping Control of a Double Star Induction Machine (DSIM)", [international] INTERNATIONAL CONFERENCE ON APPLIED ANALYSIS AND MATHEMATICAL MODELING (ICAAMM24) , Tukey

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2024-04-01

Robust adaptive backstepping neural networks fault tolerant control for mobile manipulator UAV with multiple uncertainties

The present study outlines the development of an Adaptive Backstepping Radial Basis Function
Neural Networks Fault Tolerant Control (ABRBFNNFTC) methodology. The aforementioned
methodology is employed to address the challenge of achieving trajectory following in the context
of a Mobile Manipulator Unmanned Aerial Vehicle (MMUAV) when subjected to the effects of
actuator faults and parametric uncertainties. The utilization of an adaptive radial basis function
neural networks (RBFNNs) controller is employed for the purpose of approximating an unidentified
nonlinear backstepping controller that relies on the precise model of the MMUAV. The
Lyapunov direct method is utilized to establish the stability analysis of the entire system. The
closed-loop system guarantees the Uniformly Ultimately Bounded (UUB) stability of all signals.
The control methodology put forth ensures the achievement of a prescribed trajectory, and
mitigates the impact of uncertainties and actuator faults. The efficiency of the proposed
ABRBFNNFTC scheme is demonstrated through the presentation of extensive simulation studies.
Citation

M. RAHALI Hilal, (2024-04-01), "Robust adaptive backstepping neural networks fault tolerant control for mobile manipulator UAV with multiple uncertainties", [national] Mathematics and Computers in Simulation , Elsevier

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2023-11-05

Fuzzy Direct Torque Control Validation Of Induction Machine By FPGA Hardware Co-simulation

this work describes the development, implementation and validation of hardware architecture on FPGA for fuzzy DTC control of induction motor. This approach enables addressing the primary challenges associated with this control technique, which include mitigating torque ripples, minimizing flux fluctuations, and achieving precise switching frequency control. The introduction of this method has sparked numerous research endeavors aimed at demonstrating its effectiveness and resolving its inherent limitations. Specifically, this study focuses on validating a fuzzy DTC implementation hardware on the development card ML402, which utilizes an FPGA circuit of the Xilinx Virtex-4 type. This validation is carried out using Xilinx system generator and VHDL description language. The results obtained show the effectiveness of the proposed approach for controlling the induction machine and reducing flux and torque ripples.
Citation

M. RAHALI Hilal, (2023-11-05), "Fuzzy Direct Torque Control Validation Of Induction Machine By FPGA Hardware Co-simulation", [international] First International Conference on Electrical Engineering and Advanced Technologies, ICEEAT23, , Batna 2 University, Algeria

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FPGA Hardware in the Loop Validation of Fuzzy MCSA current analysis-based fault diagnostic of induction motor

Currently, the analysis of the stator current signal of induction motors (known as MCSA) has gained popularity as a method to evaluate the operational condition of asynchronous motors and prevent potential breakdowns. Traditional approaches for detecting faults in rotating machinery, relying on micro-programmed sequential systems like microprocessors and DSPs, have demonstrated its limits in terms of real-time
requirements and processing speed. To address these challenges, it has become essential to embrace cutting-edge technologies, such as ASICs or FPGAs, which offer more efficient diagnostic capabilities. The innovation in our research lies in the development of a fault detection algorithm implemented on FPGA hardware architecture for a induction machines. This algorithm leverages fuzzy logic and analyzes the stator current
signal (MCSA), specifically by considering the "Root Mean Square" (RMS) of the stator current as an indicator of potential faults. To validate this architecture, we conducted hardware in the loop validation procedure using Xilinx Virtex-4 ML402 FPGA board and XSG within the Matlab/Simulink environment. Our hardware architecture has significantly enhanced the fault detection performance in induction machines, notably in terms of online real-time detection, detection speed, and resource utilization.
Citation

M. RAHALI Hilal, (2023-11-05), "FPGA Hardware in the Loop Validation of Fuzzy MCSA current analysis-based fault diagnostic of induction motor", [international] First International Conference on Electrical Engineering and Advanced Technologies, ICEEAT23 , Batna 2 University on November 5-7th, 2023

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2023-10-21

Fuzzy current analysis-based fault diagnostic of induction motor using hardware co-simulation with field programmable gate array

Presently, signal analysis of stator current of induction motor has become a popular technique to assess the health state of asynchronous motor in order to avoid failures. The classical implementations of failure detection algorithms for rotating machines, based on microprogrammed sequential systems such as microprocessors and digital signal processing have shown their limitations in terms of speed and real time constraints, which requires the use of new technologies providing more efficient diagnostics such as application specific integrated circuit or field programmable gate array (FPGA). The purpose of this work is to study the contribution of the implementation of fuzzy logic on FPGA programmable logic circuits in the diagnosis of asynchronous machine failures for a phase unbalance and a missing phase faults cases. Methodology. In this work, we propose hardware architecture on FPGA of a failure detection algorithm for asynchronous machine based on fuzzy logic and motor current signal analysis by taking the RMS signal of stator current as a fault indicator signal. Results. The validation of the proposed architecture was carried out by a co-simulation hardware process between the ML402 boards equipped with a Virtex-4 FPGA circuit of the Xilinx type and Xilinx system generator under MATLAB/Simulink. Originality. The present work combined the performance of fuzzy logic techniques, the simplicity of stator current signal analysis algorithms and the execution power of ML402 FPGA board, for the fault diagnosis of induction machine achieving the best ratios speed/performance and simplicity/performance. Practical value. The emergence of this method has improved the performance of fault detection for asynchronous machine, especially in terms of hardware resource consumption, real-time online detection and speed of detection. References 22, tables 3, figures 19.
Citation

M. RAHALI Hilal, (2023-10-21), "Fuzzy current analysis-based fault diagnostic of induction motor using hardware co-simulation with field programmable gate array", [national] Electrical Engineering & Electromechanics , Electrical Machines and Apparatus

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2023-07-10

Performances of Robust Sliding Mode with Type-2 Fuzzy Logic Controller for Dual Star Induction Motor

To ensure the proper control of the system of doubly star induction motor (DSIM), a novel proposed scheme control using the technique sliding mode via Type-2 Fuzzy logic (T2FSMC) for to control the speed of a
DSIM, to make guarantee the performance robustness and stability of the machine model. An appropriate combination of the sliding mode controller (SMC) improved by the type-2 fuzzy logic is adopted for approximate the
second step discontinuous control of SMC to get better with high accuracy the robustness of the DSIM control systems and can eliminates the chattering effect. The dynamic system of the machine is modeled, simulated and
validated in Simulink by MATLAB, behavior, the modeling details and the simulations results obtained are presented described in detail after.
Citation

M. RAHALI Hilal, (2023-07-10), "Performances of Robust Sliding Mode with Type-2 Fuzzy Logic Controller for Dual Star Induction Motor", [international] International Conference on Nonlinear Science and Complexity (ICNSC23,) July 10-15, 2023, Istanbul-Turkey , Istanbul-Turkey

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2023-06-07

Journée doctorale en génie électrique

Journée doctorale en génie électrique
Citation

M. RAHALI Hilal, (2023-06-07), "Journée doctorale en génie électrique", [national] Journée doctorale en génie électrique , M'sila

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2022

Design of Hybrid Sliding Mode Control via Fuzzy Logic Synthesized by Backstepping Approach for Double Star Induction Motor

This paper proposes design of a novel scheme control based on sliding mode control via fuzzy logic synthesized by backstepping (FBSMC), to regulate the speed of a dual star induction machine (DSIM), to make
guaranteeing the stability and the robustness performance machine system. For this purpose, an appropriate combination of the Backstepping sliding mode controller (BSMC) Improved by fuzzy logic is adopted. This control
strategy based on the hybrid controllers are used to guaranteeing the machine stable, preferment and robust to obtain a better dynamic response and anti-disturbance performance. We present and discuss the results of the simulations obtained with MatLab/Simulink.
Citation

M. RAHALI Hilal, (2022), "Design of Hybrid Sliding Mode Control via Fuzzy Logic Synthesized by Backstepping Approach for Double Star Induction Motor", [international] INTERNATIONAL SYMPOSIUM ON APPLIED MATHEMATICS AND ENGINEERING , Istanbul-Turkey

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Journée doctorale en électromécanique

Journée doctorale en électromécanique
Citation

M. RAHALI Hilal, (2022), "Journée doctorale en électromécanique", [national] Journée doctorale en électromécanique , Université de M'sila

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2021

Fault Tolerant Control of Robot Manipulators Based on Adaptive Fuzzy Type-2 Backstepping in Attendance of Payload Variation

In this study, an adaptive fuzzy type-2 backstepping controller (AFT2BC) has been proposed for an industrial PUMA560 manipulator robot with a variable load and actuator faults. The method realizes an accurate tracking of the trajectory at the end effectors of the manipulator and improves its robustness toward model uncertainty (payload variation) and actuator faults when controlling the position of the robot. By using the advantages of the backstepping control, the convergence speed of the control algorithm has been improved, and its steady-state error has been reduced. Also, integration of the continuous approximation law has been used to eliminate the real-time chattering during the control process without affecting the robustness of the system. A type-2 fuzzy adaptive control law has been designed in order to guaranty faults and uncertainties compensation, small tracking error, and fast transient response, where the prior knowledge of uncertainties and external disturbances is not required, without disappearing the tracking precision and robustness property. Finally, the stability of the controller has been proved by the Lyapunov theory, and comparative simulations in faulty operation are conducted to show the superiority of the developed control strategy.
Citation

M. RAHALI Hilal, (2021), "Fault Tolerant Control of Robot Manipulators Based on Adaptive Fuzzy Type-2 Backstepping in Attendance of Payload Variation", [national] International Journal of Intelligent Engineering and Systems , Intelligent Networks and Systems Society

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2020

Robust Sliding Mode Control via Type-2 Fuzzy Logic for Doubly Star Induction Motor

To ensure the proper control of the system of doubly star induction motor (DSIM), a novel proposed scheme control using the Type-2 Fuzzy logic sliding mode technique (T2FLSMC) for to control the speed of a DSIM, to make guaranteeing the stability and the robustness performance machine system. An appropriate combination of the sliding mode controller (SMC) Improved by type 2 fuzzy logic is adopted for approximate the discontinuous control of SMC to improve the robustness of control systems with high accuracy and can eliminates the chattering effect. The control system is modeled, simulated and validated in MATLAB/Simulink, behavior; the modelling details and the simulations results obtained are presented described in detail after.
Citation

M. RAHALI Hilal, (2020), "Robust Sliding Mode Control via Type-2 Fuzzy Logic for Doubly Star Induction Motor", [international] International Conference on Science, Engineering & Technology, , Marrkech, Morocco

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Protection des réseaux Electrique

Le réseau électrique comprend trois grandes étapes, la production de l’énergie électrique, le transport et la distribution. Chaque équipement est doté d’un ensemble de protections souvent de nature complémentaire et à caractère instantané ou différé.
Dans une centrale de production, les protections ont pour but d’éliminer le défaut l’action instantanée d’un relais électromagnétique ou retardée par un relais temporisé et d'éviter la détérioration des alternateurs ou transformateurs en cas de fonctionnement dans de mauvaises conditions, dues à des défaillances internes, tels que défauts d'isolement ou panne de régulation.
Le choix d'un plan de protection est directement lié au choix de la structure et du mode d'exploitation du réseau, ainsi que du régime de neutre qui lui est appliqué. Sur des matériels bien conçus, bien fabriqués, bien installés, bien entretenus et bien exploités elles n'ont à fonctionner qu'exceptionnellement, et leur défaillance peut passer inaperçue. De plus, si une protection est défaillante lors d'un incident, les dommages causés à l'alternateur ou au transformateur peuvent avoir des conséquences financières importantes, mais qui restent internes à la compagnie de production d'électricité: perte de production, qui doit être compensée par des moyens de production moins économiques, et réparation de l'appareil endommagé.
Citation

M. RAHALI Hilal, (2020), "Protection des réseaux Electrique", [national] University of M'sila

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2019

Speed Control of a Dual Star Induction Motor Based on Type-2 Fuzzy Logic Sliding Mode Controller

In The paper proposes Interval Type-2 Fuzzy sliding mode controller (F2SMC) following on direct rotorique field oriented control (DRFOC), for to control the speed of a dual star induction machine (DSIM), to get stability and a robustness performance machine. An appropriate control strategy based on the hybrid controllers sliding mode and Type-2 Fuzzy controller are used to guaranteeing the a machine robust and stable to force the rotor speed to follow a desired reference signal. The simulations results obtained for F2SMC using Matlab/Simulink behavior are presented and discussed.

Keywords-Type2fuzzy,slidingmode,hybridcontroller,DSIM,robust.
Citation

M. RAHALI Hilal, (2019), "Speed Control of a Dual Star Induction Motor Based on Type-2 Fuzzy Logic Sliding Mode Controller", [international] 5TH INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING (ICAME 2019) , Istanbul

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Backstepping Sliding Mode Controller Improved with Interval Type-2 Fuzzy Logic Applied to the Dual Star Induction Motor

This paper proposes Interval type-2 Fuzzy sliding mode controller based on Backstepping
(IT2FBSMC), to control the speed of a dual star induction machine (DSIM), in order to get
a robust performance machine. An appropriate control strategy based on the coupling of
three methods (Backstepping, sliding mode and type-2 Fuzzy controller) is used to build a
robust controller used to approximate the discontinuous control eliminating the chattering
phenomenon and guaranteeing the stability of the machine. Moreover, it forces the rotor
angular speed to follow a desired reference signal. The simulation results obtained using
Matlab/Simulink behavior are presented and discussed. The obtained results show that the
controller can greatly alleviate the chattering e®ect and enhance the robustness of control
systems with high accuracy.
Citation

M. RAHALI Hilal, (2019), "Backstepping Sliding Mode Controller Improved with Interval Type-2 Fuzzy Logic Applied to the Dual Star Induction Motor", [national] International Journal of Computational Intelligence and Applications , World Scientific Publishing Europe Ltd

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