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检索条件"机构=Laboratory of Sciences and Techniques of Automatic Control and Computer Engineering Lab-STA"

共 63 条记录，以下是1-10 订阅

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Observer Based Fast Fixed-Time Non-Singular Terminal Sliding Mode control of Teleoperation Systems

Observer Based Fast Fixed-Time Non-Singular Terminal Sliding...

引用

IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Neila Mezghani Ben Romdhane Moncef Triki Sofiene Hajji Tarak Damak Laboratory of Sciences and Techniques of Automatic control and computing (Lab-STA) Higher Institute of Industriels Systems of Gabes Gabes Tunisia Laboratory of Sciences and Techniques of Automatic control and computing (Lab-STA) National School of Electronics and Telecommunications of Sfax Sfax Tunisia Laboratory of Sciences and Techniques of Automatic control and computing (Lab STA) National School of Engineering of Sfax Sfax Tunisia

ISBN: (数字)9798331542726

ISBN: (纸本)9798331542733

This paper introduces a fast fixed-time non-singular terminal sliding mode control approach, utilizing a sliding mode observer, to tackle the tracking challenge in teleoperation systems. A robust fixed-time control law is formulated to achieve accurate tracking performance, effectively countering parametric uncertainties, external disturbances, and time-varying delays. Furthermore, the proposed fast fixed-time non-singular terminal sliding surface ensures convergence within a fixed time frame once the sliding condition is satisfied. To improve practical implementation, a sliding mode observer is integrated, removing the necessity for a velocity sensor. The system's stability is demonstrated through Lyapunov theory.

关键词： Uncertainty Simulation Observers Robot sensing systems Main-secondary stability analysis Delays Sliding mode control Time-varying systems Convergence

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Contribution to the Sensors Faults Diagnosis of a Variable Speed Wind Turbine: Multimodel Approach

Contribution to the Sensors Faults Diagnosis of a Variable S...

引用

International Conference on Systems and control (ICSC)

作者： Yosra Sayahi Moez Allouche Mariem Ghamgui Sandrine Moreau Driss Mehdi Laboratory of Sciences and Techniques of Automatic Control & Computer Engineering (Lab-STA) National Engineering School of Sfax University of Sfax Sfax Tunisia Laboratory of Computer Science and Automatic Control for Systems University of Poitiers France

This paper highlights the importance of using a Doubly-Fed Induction Generators (DFIG) in the wind industry due to their ability to adapting for all variations in wind speed, thus providing increased efficiency and reliability. However, like any machine, DFIG are not immune to dysfunctional problems and faults (sensor faults, actuator faults and system faults) which affect energy production. To remedy this problem, we develop a Fault Detection and Insolation (FDI) system for sensors fault diagnosis in wind turbine. This work specifically addresses the use of observer's bench to detect and locate faults, such as intermittent sensor faults, inter-coil short circuits, emphasizing a multi-model approach. We use the Dedicated Observer Structure (DOS) and the Generalized Observer Structure (GOS) to solve the complex challenge of multiple and simultaneous sensor fault. Simulation results are presented to assess the effectiveness of the proposed diagnostic methods.

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Sliding Mode control In A Wind Turbine System

Sliding Mode Control In A Wind Turbine System

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International Conference on sciences and techniques of automatic control and computer engineering (sta)

作者： Atef Jemmali Khaled Elleuch Hafedh Abid Ahmed Toumi Laboratory of Sciences and Techniques of Automatic control & computer engineering (Lab-STA) National School of Engineering of Sfax Sfax Tunisia

ISBN: (纸本)9781665482622

This paper is interested in the control of a DFIG by a sliding mode controller, used in a wind system. The conversion chain comprises a three-blade turbine, the DFIG, a rotor-side converter, a capacitor, grid-side converter and a line-side filter. The sliding mode control is used to control the direct and quadratic current of the rotor; this type of regulator was used especially for its robustness against the parametric variations of the generator.

关键词： Regulators Capacitors Doubly fed induction generators Rotors Robustness Generators Wind turbines

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MPPT of a PV panel based on fuzzy logic and sliding mode controller

MPPT of a PV panel based on fuzzy logic and sliding mode con...

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International Conference on sciences and techniques of automatic control and computer engineering (sta)

作者： Taleb Hamdi Khaled Elleuch Hafed Abid Ahmed Toumi National School of Engineering of Sfax Laboratory of Sciences and Techniques of Automatic control & computer engineering (Lab-STA) Sfax Tunisia

ISBN: (纸本)9781665482622

In this work we present a sliding mode controller to control a boost DC-DC converter inserted in a photovoltaic system. The controller includes a combination between Fuzzy logic supervisor and sliding mode control to extract maximum power from PV systems. The proposed algorithms is compared with conventional algorithms such as the Perturb and observe (P&O) algorithm, incremental conductance (InC) and also unconventional algorithms such as FLC while varying irradiation. The simulation results confirm the performance and its robustness compared to other controllers.

关键词： Fuzzy logic Photovoltaic systems Radiation effects Adaptation models Simulation Regulation Robustness

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Fault Detection and Location for VSC- HVDC Systems with the Coexistence of AC and DC Faults by Using PSO- Neural Network

Fault Detection and Location for VSC- HVDC Systems with the ...

引用

International Conference on sciences and techniques of automatic control and computer engineering (sta)

作者： Raad Salih Jawad Hafedh Abid Lab of Sciences and Techniques of Sciences and Techniques Automatic control and computer engineering (Lab-STA) National School of Engineering of Sfax Sfax Tunisia

ISBN: (纸本)9781665482622

Superior power quality and less transmission loss are features of HVDC transmission. However, fault location and clearing technology are less advanced compared to their AC counterparts. The convergence rate and classification accuracy of the learning process can be enhanced by particle swarm optimization (PSO); the PSO method has been selected and employed in this study's feedforward neural network. This paper proposes a fault localization technique for a 75-kilometer, two-terminal VSC-HVDC system by using the wavelet transform (WT) and the PSO with artificial neural networks (PSO- NN). The HVDC system is simulated with MATlab, and the results are then processed with WT, PSO-ANN, and both traditional and conventional ANN. The eight DC faults in various places and the simultaneous AC faults are the faults in this study. To examine the impact of these two factors on the suggested fault location approach, the simulation is run while varying fault resistance and location along a 75-kilometer distance. The result shows that it is possible to anticipate the fault location pretty reliably and with little error. Additionally, PSO-ANN performance has demonstrated its advantage over conventional ANN.

关键词： Resistance Wavelet transforms Software packages HVDC transmission Artificial neural networks Fault location Wavelet analysis

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Mamdani fuzzy parameter estimation algorithm for large-scale interconnected nonlinear systems ∗ 21

Mamdani fuzzy parameter estimation algorithm for large-scale...

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21st IEEE International Conference on sciences and techniques of automatic control and computer engineering, sta 2022

作者： Elloumi, Mourad Naifar, Omar Gassara, Hamdi National School of Engineers of Sfax Laboratory of Sciences and Techniques of Automatic Control and Computer Engineering Sfax Tunisia National School of Engineers of Sfax Control and Energy Management Laboratory Sfax Tunisia

ISBN: (纸本)9781665482615

For the category of large-scale nonlinear processes that are composed of a set of linked monovariable systems and represented by discrete input-output models with unknown time-varying coefficients, the current study proposes a recursive algorithm of maximum likelihood estimation based on the fuzzy inference technique. This recursive estimator employs a prediction error strategy and a maximum likelihood estimation algorithm to formulate the issue of estimating the parameters of the process under consideration. The established parameter estimation approach is enhanced by the addition of the Mamdani fuzzy inference system. A numerical simulation exemplar is used to verify the efficacy of the generated theoretical results.. © 2022 IEEE.

关键词： Maximum likelihood estimation

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Adaptive Kinematic control for the Trajectory Tracking of Unmanned Surface Vehicle with Unknown Ocean Currents

Adaptive Kinematic Control for the Trajectory Tracking of Un...

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International Conference on sciences and techniques of automatic control and computer engineering (sta)

作者： Sami Souissi Mohamed Boukattaya Laboratory of Sciences and Techniques of Automatic control &computer engineering (Lab-STA) National school of engineering of sfax University of sfax Tunisia

ISBN: (纸本)9781665482622

The problem of trajectory-tracking for Unmanned Surface Vehicle (USV) is presented using a robust adaptive approach. First, a virtual velocity command is developed using backstepping control to ensure the traj ectory tracking of the USV's location and orientation. Then, an adaptive update law is designed for the estimation and compensation of ocean currents disturbances acting on the USV system. The stability analysis and the computation of the adaptive laws are proved using Lyapunov stability. Simulation results show the validity of the proposed method for the trajectory tracking problem.

关键词： Backstepping Trajectory tracking Oceans Simulation Estimation Kinematics stability analysis

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Small Signal stability Analysis of Multi-Machine Power System Using Genetic Algorithm Technique

Small Signal Stability Analysis of Multi-Machine Power Syste...

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International Conference on Systems and control (ICSC)

作者： Moncef Triki Bilel Dhouib Soufien Hajji Hsan Hadj Abdallah Electrical Engineering Department Sfax Engineering School Control & Energy Management Laboratory Sfax Engineering School Sfax Tunisia Electrical Engineering Department Sfax Laboratory of Sciences and Techniques of Automatic & computer engineering (Lab-STA) Sfax Engineering School Sfax Tunisia

This paper introduces an innovative approach for determining the dynamic stability margin of a power system. The method employs a Genetic Algorithm (GA) to optimize the parameters of a Conventional Power System stabilizer (CPSS) linked with the automatic Voltage Regulator (AVR) in a multi-machine power system. The objective is to tune the stabilizers in a way that effectively shifts the lightly damped and undamped electromechanical modes of all plants to a specified region in the s-plane. To achieve this, a multiobjective problem is formulated, optimizing a composite set of objective functions that include the damping factor of the lightly damped electromechanical modes. The dynamic behavior of the system is assessed using small signal stability analysis, while the stability of the system is evaluated by monitoring the variations of eigenvalues under line-to-ground (LG) fault conditions. The proposed method is then demonstrated on a 3-machine 9-bus system, and the effectiveness and robustness of the suggested Power System stabilizers (PSSs) are showcased by incorporating them into a conventional AVR-PSS model. This allows the proposed approach to efficiently damp low-frequency oscillations in the power system.

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Sensor Fault Estimation and Ftc Design for Fractional Linear Systems Using the Conformable Derivative

Sensor Fault Estimation and Ftc Design for Fractional Linear...

引用

IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Ali Omar M. Alsharif A. Jmal O. Naifar Ausama H. Ahmed H. Gassara A. Ben Makhlouf Control and Energy Management laboratory (CEM lab) Sfax University Engineering National School Tunisia Department of Electrical & Computer Engineering Faculty of Engineering Elmergib University Alkhums Libya Control and Energy Management laboratory (CEM lab) Monastir University Tunisia Laboratory of Sciences and Techniques of Automatic Control and Computer Engineering National School of Engineering of Sfax University of Sfax Tunisia Department of Mathematics Faculty of Sciences of Sfax Sfax Tunisia

ISBN: (数字)9798331542726

ISBN: (纸本)9798331542733

In this paper, Fault Tolerant control (FTC) for fractional-order systems (FOS) has not received as much attention in the literature as it has for standard integer-order systems. This work aims to bridge that gap. We propose a practical approach to fault estimation and fault-tolerant control (FTC) specifically designed for linear (FOS) with sensor failures. Our method leverages fractional exponential stability within the Lyapunov framework and employs the Conformable formulation of fractional derivatives. Notably, the primary contribution of this paper is the first application of the Conformable fractional derivative (CFD) in the context of (FTC). To accurately estimate states and faults, the proposed approach utilizes an observer coupled with a customized adaptation law. To validate our theoretical contributions, we present a detailed simulation of a numerical case study.

关键词： Linear systems Bridges stability Fault tolerant systems Fault tolerant control Observers control theory standards Lyapunov methods

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Efficiency Optimization of Induction Motor Using a Modified Gray Wolf Optimization

Efficiency Optimization of Induction Motor Using a Modified ...

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International Conference on sciences and techniques of automatic control and computer engineering (sta)

作者： Oussama Zeghba Salim Chakroun Ali Aillane Research Laboratory on the Electrical Engineering University of M'Sila Algeria Laboratory of Sciences and Techniques of Automatic Control and Computer Engineering (Lab-STA) National School of Engineering of Sfax (ENIS) University of Sfax Sfax Tunisia

ISBN: (纸本)9781665482622

In this research, a method for improving the efficiency of induction motors based on the modified gray wolf optimizer (mGWO) is proposed and examined. In order to reduce the overall copper and iron losses of the machine, the efficiency improvement technique entails modifying the geometric dimensions with regard to the lower and upper bound of those parameters. A comparison between the findings achieved utilizing the mGWO and GAs approach is done, and some simulation performances are shown along with a comparison of efficiency, electric current, and torque. The approach mGWO provided good results and required less time to extract results once the simulation results were obtained using the aforementioned methods.

关键词： Energy consumption Induction motors Upper bound Torque Simulation Iron Data models

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