This work presents the problem of the wind energy conversion system when wind speed exceeds the nominal one. The goal of this paper is to control the blade pitch angle at high wind speed for the protection of the wind turbine. The... more
This work presents the problem of the wind energy conversion system when wind speed exceeds the nominal one. The goal of this paper is to control the blade pitch angle at high wind speed for the protection of the wind turbine. The proportional-integral controller is used as a conventional method to regulate the pitch angle. The simulation results show that the pitch angle controller can operate to protect the system at high wind speed.
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Research Interests: Wind Power, Phasor, Steady state, Voltage, Operant Conditioning, and 10 moreElectric Drive, Power Factor, Permanent Magnet Synchronous Generator, Energy and Fuels, Induction Generator, Electrical And Electronic Engineering, Stator, Doubly fed induction generator, steady state analysis, and Doubly fed induction generators
The work presented in this paper aims for the study and implement an acquisition system and remote control of a photovoltaic pumping station. The proposed system, built around an Arduino board and a GSM module enables real time... more
The work presented in this paper aims for the study and implement an acquisition system and remote control of a photovoltaic pumping station. The proposed system, built around an Arduino board and a GSM module enables real time characterization parameters of a photovoltaic pumping station and transmission of different measures to the operator by GSM network. Indeed, using his mobile phone, the operator can control or monitor the system by sending a simple SMS that contains an order, or receiving a report message that informs him about the recent state of the system. The proposed work is presented as a simple and easy solution that can be used to ensure good control of photovoltaic pumping stations in the desert areas.
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This paper presents a control strategy for a grid connected system fed by a photovoltaic (PV) source. A two stages topology with boost converter followed by a three phase VSI (voltage source Inverter) is used for the grid interface. The... more
This paper presents a control strategy for a grid connected system fed by a photovoltaic (PV) source. A two stages topology with boost converter followed by a three phase VSI (voltage source Inverter) is used for the grid interface. The boost DC converter is controlled using an Incremental conductance maximum power point tracking technique in order to feed the maximum of power to the grid in the normal grid voltage mode. In this paper, an additional dc-bus voltage regulator is added in the control of the boost for ensuring the operation of the proposed system in the case of low grid voltage or voltage sag as well as in the normal grid voltage mode. The proposed system is simulated via the MATLAB/SIMULINK and the validity of the proposed concept is confirmed and the performance of the proposed control is satisfactory.
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In this paper, we expose an energy optimization method for an ensemble of electrical vehicles. The idea is based on vehicles information sharing in a cloud database. Installed sensors in a vehicle will allow us to know the needed vehicle... more
In this paper, we expose an energy optimization method for an ensemble of electrical vehicles. The idea is based on vehicles information sharing in a cloud database. Installed sensors in a vehicle will allow us to know the needed vehicle information. The regrouped data will be used then for building an optimal energy experience which will be shared with the new vehicles. The neural network technique is used here for the learning phases. The proposed application for this work was validated for five connected cars. Matlab Simulink was used for simulating the results and given the present statistics.
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Inthis paper, anewapproach tononlinear controloftorque andfluxdecoupling whichnotinsured inreal-time (NC)ofinduction motors ispresented. Thisapproach consists of implementation duetosignificant plant uncertainties suchas anovel direction... more
Inthis paper, anewapproach tononlinear controloftorque andfluxdecoupling whichnotinsured inreal-time (NC)ofinduction motors ispresented. Thisapproach consists of implementation duetosignificant plant uncertainties suchas anovel direction inthedevelopment ofcontrollers fortherotorexternal disturbances, parameters variations andunmodeled fluxamplitude andthemotorspeed. Theproposed approachplant nonlinear dynamics (15). To improve theFOC,full showsthat thenonlinear motordynamics canbelinearized and methods areproposed usingaNonlinear approach suchas decoupled by meansoffeedback-linearization techniques. A linearizing statefeedback control basedon differential comparative study iscarried outbetween theperformances ofthe geoetrictat e adaptive med an pred tPI nonlinear controller andfield oriented control (FOC)using the eometric theory (11)theadaptive methods andpredict PID simulation results, whichshowthattheNC operates quitecontrollers areusedtoimprove therobustness anddynamic robustly...
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The two control design methods for stabilizing discrete time systems are based on the notion of exact linearization with diffemorphism and feedback. On the one hand, the first method consists in developing a polynomial control law based... more
The two control design methods for stabilizing discrete time systems are based on the notion of exact linearization with diffemorphism and feedback. On the one hand, the first method consists in developing a polynomial control law based on the exact linearization approach. This approach was developed by considering the concept of relative degree. On the other hand, the second method is based on the methodology of control by state-return for which there is a linearizing transformation of the looped system. These approaches are based on the reversing trajectory method in order to estimate the asymptotic stability region around an operating point. The effectiveness of the suggested methods is tested by numerical examples of the CSTR chemical reactor described by a strongly non-linear model. Keywords— Input-output feedback linearization, Polynomial Nonlinear System, Asymptotic Stability Region, Reversing Trajectory Method, Discrete-Time.
Distributed power generation systems (DPGS) tend to increase their capacities of production of electricity. Multilevel converters are considered today among the most suitable topologies for DPGS connected medium voltage grids. On the... more
Distributed power generation systems (DPGS) tend to increase their capacities of production of electricity. Multilevel converters are considered today among the most suitable topologies for DPGS connected medium voltage grids. On the other hand, Finite-Control-Set Model Predictive Control (FSC-MPC) has become in the last decade a promising control method thanks to its fast dynamic response and robustness. In this paper, this control method is applied on a grid-tied three-phase three-level neutral point clamped (NPC) inverter. The main objectives behind the proposed method are: performs a perfecto control of the powers exchanged with the grid active and reactive powers in steady state operation, and avoid the overcurrent due to the grid faults. The effectiveness of the proposed FSC-MPC applied on the NPC converter is validated with numerical simulations and experimental tests.
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Over the last years, Electric Vehicles (EV) have gained a growing interest as an alternative option for Internal Combustion Engine driven vehicles due to the increasing concern of global warming issue. Since the battery is the key... more
Over the last years, Electric Vehicles (EV) have gained a growing interest as an alternative option for Internal Combustion Engine driven vehicles due to the increasing concern of global warming issue. Since the battery is the key component in the development of electric vehicles technology, the battery charger is also indispensable for their emergence. Typically battery chargers are composed of two stages of conversion and they can be implemented inside (on-board) or outside (off-board) the vehicle. The on-board chargers are limited by size and weight thus they are restricted to low power (slow charging). So to achieve high power level (fast charging) several integration solutions with the existent drivetrain in the vehicle have been proposed. Battery chargers can support bidirectional power flow between the vehicle and the grid which introduces “Vehicle-to-Grid” technology. This paper presents an overview of on-board bidirectional battery chargers. Different topologies for both two-stage chargers and integrated chargers are reported and their operation principals are explained.
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This paper proposes two methods of maximum power point tracking algorithm for photovoltaic systems, based on the first hand on fuzzy logic control and on the other hand on the first order sliding mode control. According to the nonlinear... more
This paper proposes two methods of maximum power point tracking algorithm for photovoltaic systems, based on the first hand on fuzzy logic control and on the other hand on the first order sliding mode control. According to the nonlinear characteristic of photovoltaic array, it's necessary to find a solution to track the maximum power of the PV system in order to improve its efficiency. The fuzzy logic controller was presented in many works. It provides fast response and good performance against the climatic and load change and uses directly the DC/DC converter duty cycle as a control parameter. Moreover, the sliding mode control approach is recognized as one of the efficient tools to design robust controllers it has been receiving much more attention within the last two decades and many research are dealing with this type of robust controllers. A detailed comparison between the fuzzy logic and slinging mode controllers was presented in this work. Simulation results show that the proposed algorithms can effectively improve the efficiency of a photovoltaic array output.
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Susceptible Exposed Infectious and Recovered epidemic model endowed with a treatment function (SEIR-T model) is a well-known model used to reproduce the behavior of an epidemic, where the susceptible population and the exposed population... more
Susceptible Exposed Infectious and Recovered epidemic model endowed with a treatment function (SEIR-T model) is a well-known model used to reproduce the behavior of an epidemic, where the susceptible population and the exposed population need to be estimated to predict and control the propagation of a contagious disease. This paper focuses on the nonlinear observer design for a class of nonlinear piecewise systems including SEIR-T models. For this purpose, two changes of coordinates are provided to transform the considered systems into an extended nonlinear observer normal form, on which a high gain observer can be applied. Then, the proposed method is applied to a SEIR-T model. Finally, simulation results are given to show its efficiency.
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This paper is a comparative study of three doubly fed induction motor (DFIM) speed modeling strategies through multi-model approach based on three clustering algorithms; subtractive, C-means and K-means clustering. The comparison leads to... more
This paper is a comparative study of three doubly fed induction motor (DFIM) speed modeling strategies through multi-model approach based on three clustering algorithms; subtractive, C-means and K-means clustering. The comparison leads to a novel clustering strategy compound of the three clustering algorithms. The novel clustering strategy is applied to modeling the speed of the doubly fed induction motor then validated experimentally on a 1kw induction motor. The experimental study is held with the help of MATLAB/SIMULINK and a dSpace system with DS1104 controller board based on digital signal processor (DSP) TMS320F240. Simulation and experimental results approve the efficiency of the proposed approach.
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This paper proposes a non-parametric method to detect grid voltage dip in a Wind Turbine Generator. The method is based on the analysis of the grid currents vector trajectory in the stationary reference frame. Two features (amplitude... more
This paper proposes a non-parametric method to detect grid voltage dip in a Wind Turbine Generator. The method is based on the analysis of the grid currents vector trajectory in the stationary reference frame. Two features (amplitude variation and angle deviation) are extracted for Fault Detection and Isolation. The approach is validated through simulation results of a Doubly Fed Induction Generator. The results show that the method is robust to parameter and load variations. The fault detection time duration is less than one cycle.
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This paper addresses the problem of detecting voltage dips in Wind Turbine Generator connected to electrical grid. A procedure based on analysis of voltage indicators is proposed. It used the artificial neural network in order to extract... more
This paper addresses the problem of detecting voltage dips in Wind Turbine Generator connected to electrical grid. A procedure based on analysis of voltage indicators is proposed. It used the artificial neural network in order to extract the features (magnitudes and angle of each phase). The method is tested in simulation and the results approved its efficiency and rapidity. It could not only detect the dip fault but also identify the type of fault.
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This paper is proposed to introduce the management of the electrical power on the DiAmmonuim Phosphate (DAP) plant through a graphical user interface developed under “Visual Basic 6” and the manager database MySQL Server. The management... more
This paper is proposed to introduce the management of the electrical power on the DiAmmonuim Phosphate (DAP) plant through a graphical user interface developed under “Visual Basic 6” and the manager database MySQL Server. The management of electrical energy in this paper is composed of three spots: the real-time monitoring, controlling the opening and closing of the supply lines and recording in a database.
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Wind systems offer a promising alternative to meet the needs of electricity consumers by exploiting the benefits of renewable natural sources. The work presented in this paper focused on the study of a stand-alone wind system based on a... more
Wind systems offer a promising alternative to meet the needs of electricity consumers by exploiting the benefits of renewable natural sources. The work presented in this paper focused on the study of a stand-alone wind system based on a Permanent Magnet synchronous generator for the production of electrical energy in isolated sites. This study aims to detect and isolate the different sensors faults that can affect a wind turbine using a sliding mode observer. The proposed observer is synthesized and implemented in Matlab/Simulink environment. Simulation results are presented and analyzed up.
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This paper discusses the modeling of dual three phase induction motor (DTPIM). The purpose of this paper is to study the impact of the stator mutual leakage inductance on the modeling of such machine in steady state and dynamic operation.... more
This paper discusses the modeling of dual three phase induction motor (DTPIM). The purpose of this paper is to study the impact of the stator mutual leakage inductance on the modeling of such machine in steady state and dynamic operation. This study incorporates two models. First, the effects of mutual leakage inductance between the two stator windings sets are simply neglected. Second, the mutual leakage inductance has been included. The two models have a good performance but, circulating harmonic currents originate from mutual leakage coupling between the stator windings appear.
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A Super-Twisting Algorithm (STA) is proposed for the tracking control of a greenhouse system. This proposed technique, ensure that the occurrence of the sliding motion in finite time and the trajectory of the tracking error converge to... more
A Super-Twisting Algorithm (STA) is proposed for the tracking control of a greenhouse system. This proposed technique, ensure that the occurrence of the sliding motion in finite time and the trajectory of the tracking error converge to the equilibrium point. Furthermore, High Sliding Mode is in the but to approximate the unknown nonlinear functions of the system model and moreover to approximate the switching control term of the sliding control to resolve the chattering problem. The convergence and stability of the proposed control schema are proved using Lyapunov's method. Finally, many simulation results for the greenhouse are given to illustrate the good tracking performances.
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In this chapter we will deal with a comparative study between two control methods for maximum power point tracking (MPPT) algorithms in photovoltaic (PV) systems. The two MPPT controllers considered in this chapter are: the Fuzzy Logic... more
In this chapter we will deal with a comparative study between two control methods for maximum power point tracking (MPPT) algorithms in photovoltaic (PV) systems. The two MPPT controllers considered in this chapter are: the Fuzzy Logic Controller (FLC) and the Sliding Mode Controller (SMC). The MPPT controller based on the fuzzy-logic-algorithm uses directly the DC-DC converter duty cycle as a control variable and it provides a fast response and good performances against the climatic and load changes. The SMC exhibits a very fast response for tracking the maximum power point (MPP) for photovoltaic systems. The input parameters are the voltage and the current, the duty cycle is used to generate the optimal MPP under different operating conditions. Simulation results show that both algorithms can effectively perform the MPPT hence improving the efficiency of PV systems.
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Usually, electrical design engineer must take care about three-phase balancing before sending the final version of the LV electric wiring. The conventional method used to verify this task was just to divide all single-phase... more
Usually, electrical design engineer must take care about three-phase balancing before sending the final version of the LV electric wiring. The conventional method used to verify this task was just to divide all single-phase electrical-loads between the three phases without focusing the consideration on daily load-flow variation of the electrical-loads. For this, this paper describes a necessary new method that must be used in order to balance the three phases in 0.4 KV distribution smart-grids and its implementation and simulation in a Matlab/Simulink model.
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This paper deals with an analysis and implementation of a control method proposed in the maximum power point tracking (MPPT) for photovoltaic systems. The Improved Particle Swarm Optimization (IPSO) algorithm is developed and implemented... more
This paper deals with an analysis and implementation of a control method proposed in the maximum power point tracking (MPPT) for photovoltaic systems. The Improved Particle Swarm Optimization (IPSO) algorithm is developed and implemented in Matlab/Simulink environment. Many simulations have been done considering the different system responses as the current, voltage and essentially the power. The efficiency of the proposed MPPT algorithm have been carried out.
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This paper presents the negative effect of low pass filter of in-wheel motor sensored control. This filter is communally used in PCBs to avoid disturbance and noise signals into the input pins o controller. The negative effect is due to... more
This paper presents the negative effect of low pass filter of in-wheel motor sensored control. This filter is communally used in PCBs to avoid disturbance and noise signals into the input pins o controller. The negative effect is due to the miss communication between the PCBs designer and implementation algorithm teams of project. Thus, it produces degradation of performance of the BLDC motor and thus, of the vehicle. The negative effect appears especially when applying filter on the sensor used to survey the position of the rotor which impact the feature of the EVs motor. This paper present, simulate and practically validate the impacts of filters.
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Switch mode power converters are site of electromagnetic interference (EMI) issues that decrease their performances and deteriorate their electromagnetic environment and stability. Thereby electromagnetic compatibility (EMC) plays an... more
Switch mode power converters are site of electromagnetic interference (EMI) issues that decrease their performances and deteriorate their electromagnetic environment and stability. Thereby electromagnetic compatibility (EMC) plays an increasingly important role to guarantee a correct functioning of DC/DC power converters and to ensure reliability throughout their lifetime. In this paper, the chaotic pulse width modulation scheme based on logistic map (LPWM) was used to mitigate EMI. In fact the LPWM is a spread spectrum technique that spreads out uniformly the entire energy over the frequency band. In the current work, the LPWM scheme has been benchmarked against the traditional PWM and by means of LTspice simulations it has been shown out the great extent of EMI reduction.
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This paper deals with an energy management problem to ensure the best performance of the recharging tools used in electric vehicles. The main objective of this work is to find the optimal condition for controlling a hybrid recharging... more
This paper deals with an energy management problem to ensure the best performance of the recharging tools used in electric vehicles. The main objective of this work is to find the optimal condition for controlling a hybrid recharging system by regrouping the photovoltaic cells and fuel cells. The photovoltaic and fuel cell systems were connected in parallel via two converters to feed either a lithium battery bank or the main traction motor. This combination of energy sources resulted in a hybrid recharging system. The mathematical model of the overall recharging system and the designed power management loop was developed, taking into account multiple aspects, including vehicle loading, the stepwise mathematical modelling of each component, and a detailed discussion of the required electronic equipment. Finally, a simplistic management loop was designed and implemented. Multiple case studies were simulated, statistical approaches were used to quantify the contribution of each recharg...
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This paper deals with the performance analysis of a robust neural controller applied to the DC motor for speed control. The robustness is guaranteed by the use of the Internal Model Controller (IMC). The IMC is based on the artificial... more
This paper deals with the performance analysis of a robust neural controller applied to the DC motor for speed control. The robustness is guaranteed by the use of the Internal Model Controller (IMC). The IMC is based on the artificial Neural Network (ANN) principle. This paper proposes an adaptive neural controller methodology in the dc motor control and the results are compared with the performance of the feedforward neural controller. Simulations results and experimental set up are presented to demonstrate the robustness of the speed controller under a wide range of load of the proposed schemes in a closed loop control. The effective results show that the performance of neural network control dc motor is improved by using adaptive neural network than the feed-forward neural network.
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The photovoltaic energy is now considered as an important source of electricity and renewable energy in general. However it is an unstable source of power since it presents a nonlinear current-power characteristic that depends on the... more
The photovoltaic energy is now considered as an important source of electricity and renewable energy in general. However it is an unstable source of power since it presents a nonlinear current-power characteristic that depends on the variable climatic conditions as the illumination and the temperature. Consequently this leads to the variation of the maximum power point (MPP)’s position. Therefore, this work will deal with this problem of power optimization by using a robust technique called a high order sliding mode algorithm which is proposed to track the maximum power point in spite of model uncertainties and meteorology condition variations. A detailed description of the tracking approaches’ theoretical analysis is presented. The proposed MPP tracking algorithm has been validated through an extensive simulation work under MATLB/SIMULINK package. Based on the obtained results, we can note a great effectiveness in terms of output power optimization. Moreover, this new MPPT controll...
This article presents a direct control of the rotor field (DFOC) applied to the double star induction machine. The difficulty of control in the induction machine is due to the torque and flux coupling because the change in load torque... more
This article presents a direct control of the rotor field (DFOC) applied to the double star induction machine. The difficulty of control in the induction machine is due to the torque and flux coupling because the change in load torque inevitably induces flux variation and to ensure separation control of these two variables, field-oriented control is often used, in this reason the direct control centered on the field with the PI speed regulator is used to control this machine powered by two voltage source inverters. Then, the results obtained in the Matlab/Simulink environment have presented the performances of the system and are tested under different operating conditions.
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The photovoltaic cells description is usually defined by a coupled nonlinear equation, difficult to solve using analytical methods. This paper presents a mathematical model using Matlab/ simulink, able to demonstrate the cell's output... more
The photovoltaic cells description is usually defined by a coupled nonlinear equation, difficult to solve using analytical methods. This paper presents a mathematical model using Matlab/ simulink, able to demonstrate the cell's output features in terms of irradiance and temperature environment changes. Keywords— Photovoltaic cell, Matlab/Simulink, Model
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By reference to our recent paper [1] and in order to elaborate a new telemetry network destined to supervise a photovoltaic (PV) fields, using RDS subscriber (Radio Data System) we continue to study various aspects of the transmission.... more
By reference to our recent paper [1] and in order to elaborate a new telemetry network destined to supervise a photovoltaic (PV) fields, using RDS subscriber (Radio Data System) we continue to study various aspects of the transmission. So, in this paper, we gathered all eventualities of distortion and interference between different components of signals in order to draw conclusions about our telemetry process transmission. Total harmonic distortion THD and inter-modulation between signals are the main parameters considered in this simulation.
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A robust high speed algorithm, RHSA, applied in the field oriented vector control strategy, is presented in this paper for the PMSM sensorless control loop. The present algorithm, RHSA, is formed for online generating the direct and... more
A robust high speed algorithm, RHSA, applied in the field oriented vector control strategy, is presented in this paper for the PMSM sensorless control loop. The present algorithm, RHSA, is formed for online generating the direct and quadrature reference stator current. Based on the fuzzy logic controller and the field weakening principle, the RHSA is constructing. The sliding mode, based on Lyapunouv stability criterion, is used for the online speed estimation. The Robustness of the global control scheme is verified through computer simulation using matlab/Simulink software.
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ABSTRACT In this paper a new online adjustable adaptive field weakening, based on the Bacterial foraging optimization algorithms is presented. In the traction and electric vehicle applications, the high speed mode is important.... more
ABSTRACT In this paper a new online adjustable adaptive field weakening, based on the Bacterial foraging optimization algorithms is presented. In the traction and electric vehicle applications, the high speed mode is important. Effectively the Field weakening technique is needed. However in the environment supported by the system, many parameters can influence on the global control technique, like temperature, dust or vibration. Well, to resolve these problems a new adaptive control technique, support this variations, is presented in this paper.
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This paper proposes and develops a novel maximum power point tracking (MPPT) approach. This method is designed to be applied to systems that are fed with a photovoltaic (PV) generator. It is based on the bijectivity of the PV generator... more
This paper proposes and develops a novel maximum power point tracking (MPPT) approach. This method is designed to be applied to systems that are fed with a photovoltaic (PV) generator. It is based on the bijectivity of the PV generator characteristic; as if the optimal current is reached, this means that the Vpv generator is obligatory at its optimal value
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This paper discusses a comparative study of two modeling methods based on multimodel approach. The first is based on C-means clustering algorithm and the second is based on K-means clustering algorithm. The two methods are experimentally... more
This paper discusses a comparative study of two modeling methods based on multimodel approach. The first is based on C-means clustering algorithm and the second is based on K-means clustering algorithm. The two methods are experimentally applied to an induction motor. The multimodel modeling consists in representing the IM through a finite number of local models. This number of models has to be initially fixed, for which a subtractive clustering is necessary. Then both C-means and K-means clustering are exploited to determine the clusters. These clusters will be then exploited on the basis of structural and parametric identification to determine the local models that are combined, finally, to form the multimodel. The experimental study is based on MATLAB/SIMULINK environment and a DSpace scheme with DS1104 controller board. Experimental results approve that the multimodel based on K-means clustering algorithm is the most efficient.
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Research Interests: Engineering and Elsevier
The intelligent controls techniques have been an important solution for draw up the connection to the grid for the renewable energy. The power created in the system is changeable as the wind speed is uncertain the injection of this energy... more
The intelligent controls techniques have been an important solution for draw up the connection to the grid for the renewable energy. The power created in the system is changeable as the wind speed is uncertain the injection of this energy required the synchronization to the grid. This article proposes the active and reactive power control by the use of the intelligent technique fuzzy logic for the control of the inverter connected to the filter LCL. The control of the powers is carried out independently by the control of the direct and quadrature currents with the vector control technique. The performance of the connection to the grid with the fuzzy control designed has been analyzed through a simulation using Matlab/Simulink.
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The non_uniformed Permanent magnet double rotor motor is used in wind power and hybrid vehicles as an electrical variable transmission. It is integrated radially by two permanent magnet machines (stator machine and double rotor machine).... more
The non_uniformed Permanent magnet double rotor motor is used in wind power and hybrid vehicles as an electrical variable transmission. It is integrated radially by two permanent magnet machines (stator machine and double rotor machine). In this paper, the mathematical model is linearized and the generalized model predictive controller MPC is chosen here to control this motor type. In order to improve the effectiveness of the investigated control strategy, the MPC algorithm is implemented and applied to the motor model simulated in Simulink/MATLAB.
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In Tunisia, as in developing countries, the supply problem in drinking water becomes more and more crucial, because of the population growth and of the rise of the standard of living. The desalination of the sea water and the brackish... more
In Tunisia, as in developing countries, the supply problem in drinking water becomes more and more crucial, because of the population growth and of the rise of the standard of living. The desalination of the sea water and the brackish waters is now the answer of request in drinking water. Among the proceeded disputes, the solar distillation is an interesting solution. The objective of this work is to simulation of electro dialysis unit fed by a photovoltaic array to desalt brackish water in MATLAB / SIMULINK environments.