This paper deals with robust torque controller design for induction motor. The design is based on singularly perturbed system theory and linear parameter-varying systems, with the rotor resistance acting as a time-varying parameter. In... more
This paper deals with robust torque controller design for induction motor. The design is based on singularly perturbed system theory and linear parameter-varying systems, with the rotor resistance acting as a time-varying parameter. In addition, the MRAS observer is designed to estimate both the rotor resistance and the electromagnetic torque, whereas an LPV observer estimates the rotor flux. The key feature of this proposed controller is that it improves and ensures both stability and robustness when the rotor resistance varies across the entire working range. Simulation tests are carried out to confirm the effectiveness of the proposed control approach.
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In order to enhance the radiation sensitivity, a junctionless double graphene gate radiation sensitive FET (RADFET) besides associated analytical analysis are both introduced. Analytical models using the technique of variables separation... more
In order to enhance the radiation sensitivity, a junctionless double graphene gate radiation sensitive FET (RADFET) besides associated analytical analysis are both introduced. Analytical models using the technique of variables separation are implemented to measure and evaluate the capabilities of both proposed and standard RADFET devices. In addition, the effect of graphene work function on the device performance measures is also investigated. Moreover, the elaborated model defines the figures of merit in the context of a multi-objective genetic algorithm (MGA) technique. The improved electrical response is compared with existing double gate (DG) RADFETs, where the proposed device figures of merit reveal that the optimized proposed RADFET provides improved electrical performance and sensitivity.
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Research Interests: Computer Science, Fuzzy Logic, Solar Power, Photovoltaic, adaptive neuro fuzzy inference system (ANFIS), and 10 moreANFIS, MPPT, Dc-Dc Boost Converter, Pulse Width Modulation, solar PV power plants, Neuro Fuzzy, Maximum Power Point Tracking, Photovoltaic system, Fuzzy Control System, and Proportional Integral controller
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This paper deals with robust torque controller design for induction motor. The design is based on singularly perturbed system theory and linear parameter-varying systems, with the rotor resistance acting as a time-varying parameter. In... more
This paper deals with robust torque controller design for induction motor. The design is based on singularly perturbed system theory and linear parameter-varying systems, with the rotor resistance acting as a time-varying parameter. In addition, the MRAS observer is designed to estimate both the rotor resistance and the electromagnetic torque, whereas an LPV observer estimates the rotor flux. The key feature of this proposed controller is that it improves and ensures both stability and robustness when the rotor resistance varies across the entire working range. Simulation tests are carried out to confirm the effectiveness of the proposed control approach.
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In this paper, we propose an implementation of a new technique of power maximization using a photovoltaic system emulator. The PV system design and its performance evaluation test before installation would be both costly and... more
In this paper, we propose an implementation of a new technique of power maximization using a photovoltaic system emulator. The PV system design and its performance evaluation test before installation would be both costly and time-consuming. To overcome this problem the use of an emulator adds more performance and efficiency in the laboratory. Also, by measuring the voltage and current from the PV emulator the characteristic I-V and P-V are extract.The need to consider the measure power state is strongly nonlinear distribution curve with noise. For that reason, to establish and to detect the power value, measurement equations and dynamic equations proposed MPPT control strategy based on Kalman filter algorithm. The correctness and effectiveness of the strategy is verified by simulation and experiment. This algorithm was experimentally implemented. Data acquisition and control system were implemented using dSPACE1103. The results show that the Kalman filter MPPT work accurately and successfully under the change of solar irradiation.
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This paper deals with a comprehensive supervisor control for a hybrid generation system. Such system works in island mode and comprises a photovoltaic panel and a battery/super capacitor energy storage system. The principal aims of the... more
This paper deals with a comprehensive supervisor control for a hybrid generation system. Such system works in island mode and comprises a photovoltaic panel and a battery/super capacitor energy storage system. The principal aims of the proposed supervisor are, firstly, to control the energy flow of the system in order to satisfy the load power demand, secondly, to manage the loads according to the power availability to preserve the battery state of charge and to prevent the system failure under any condition. The effectiveness of the proposed control strategy are tested by simulation in different operating situation. The simulation result shows the efficiency of the proposed control strategy, as it improves the energy balance of the system and increases its reliability.
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ABSTRACT
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In recent years, electrical energy has become a vital component for human life. Moreover, the interest for alternative energy sources has an exponential rise nowadays as a consequence of the limitation in conventional energy sources. Wind... more
In recent years, electrical energy has become a vital component for human life. Moreover, the interest for alternative energy sources has an exponential rise nowadays as a consequence of the limitation in conventional energy sources. Wind energy is considered one of the most important renewable energy sources. Nowadays, in order to ensure an optimal energy use, management and control technologies of wind energy conversion system are developed rapidly. In this paper, both of the vector controller and sliding mode control strategy for an isolated doubly fed induction generator-based wind energy conversion system are studied, described, tested and compared. In order to ensure the safety of the connected load, the main purpose of the present work is to maintain output stator voltage and frequency at their reference values whether for load demand power variations and wind speed fluctuations. Experimental results demonstrate the effectiveness of the presented control strategies.
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This paper presents an improved method of stator angular (frequency) θs estimation for sensorless indirect oriented field control of induction motors based on a phase locked loop (PLL). A PLL is used to estimate the stator voltage angular... more
This paper presents an improved method of stator angular (frequency) θs estimation for sensorless indirect oriented field control of induction motors based on a phase locked loop (PLL). A PLL is used to estimate the stator voltage angular frequency taking account only the reference speed. A reduced-order observer is used to estimate speed and rotor flux. Extensive simulation and experimental tests confirm the effectiveness of the proposed approach.
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In this paper, we propose an indirect adaptive control strategy for a Doubly Fed Induction Generator (DFIG) based Wind Energy Conversion System (WECS) linked to both external loads and the electrical grid. This configuration is widely... more
In this paper, we propose an indirect adaptive control strategy for a Doubly Fed Induction Generator (DFIG) based Wind Energy Conversion System (WECS) linked to both external loads and the electrical grid. This configuration is widely used in smart buildings when the building has a positive power it can inject the excess amount directly to the grid. Our objective is to ensure the fast-tracking and boundless of all signals in both stages of synchronization and power regulation. The proposed technic is independent of the system model and guarantees the robustness against external (load changes) and internal perturbations (speed changes…etc.). The fuzzy adaptive system is used to estimate in real-time the nonlinear functions of the system, the control law with the proposed adaptation laws ensure the stability of the controller with the DFIG based WECS. Numerical and graphical Simulation results illustrate the efficiency of the proposed scheme for both synchronization and power control.
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Abstract.In this work we propose to develop an algorithm for improving the efficiency of an induction motor using type-2 fuzzy logic. Vector control is used to control this motor due to the high performances of this strategy. The type-2... more
Abstract.In this work we propose to develop an algorithm for improving the efficiency of an induction motor using type-2 fuzzy logic. Vector control is used to control this motor due to the high performances of this strategy. The type-2 fuzzy logic regulators are developed to obtain the optimal rotor flux for each torque load by minimizing the copper losses. We have compared the performances of our fuzzy type-2 algorithm with the type-1 fuzzy one proposed in the literature. The proposed algorithm is tested with success on the dSPACE DS1104 system even if there is parameters variance.
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A robust voltage control intended for a photovoltaic systems is considered. The proposed controller is robust to environment changes and load variations. In this paper, the second order sliding mode controller based on super twisting... more
A robust voltage control intended for a photovoltaic systems is considered. The proposed controller is robust to environment changes and load variations. In this paper, the second order sliding mode controller based on super twisting algorithm for DC-DC Boost converter is proposed for increases the robustness of the global system. The designed control is simple, but it shows good stability and robustness with respect to load variations, the performance of the controller is verified through experimental results.
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In this work an intelligent maximum power point tracking based on fuzzy logic technique for a standalone hybrid generation power system with power management is presented, this system comprising a double fed induction generator branch... more
In this work an intelligent maximum power point tracking based on fuzzy logic technique for a standalone hybrid generation power system with power management is presented, this system comprising a double fed induction generator branch (DFIG) based wind turbine and photovoltaic generator branch compared to the conventional perturbation and observation (P & O) and the incremental conductance algorithms respectively. The fuzzy logic controller is designed to vary the duty-cycle of the DC-DC converter automatically such that to maintain the load voltage constant. MPPT provides a high precision in current transition and keeps the voltage without any changes. Also, a power management strategy that enhances the hybrid system performance by introducing battery charging and discharging limit control, load priority setting and secondary load control had is presented. The proposed scheme ensures optimal use of the photovoltaic (PV) array and DFIG wind proves its efficacy in variable load conditions, unity and lagging power factor at the inverter output (load) side. A dynamic and steady-state mathematical model and simulations for the entire scheme is presented. The model is implemented in the MATLAB/Simulink platform.
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Nowadays, the continuously increasing of the energy consumption all over the world presents the cause of renewable energy sources development. In this context, wind energy conversion systems (WECS) based on double fed induction generator... more
Nowadays, the continuously increasing of the energy consumption all over the world presents the cause of renewable energy sources development. In this context, wind energy conversion systems (WECS) based on double fed induction generator (DFIG) are widely used in both grid connected and stand-alone modes. In both cases, management and control technologies are widely developed in the literature. In this paper, in order to control and regulate stator output voltage and frequency whether for load demand power variations and wind speed fluctuations, a study of the stand-alone DFIG based WECS using Backstepping controller is made, developed and tested. Experimental results are carried out using a 1.5 Kw DFIG and a dSpace DS1104 card. Results demonstrate performances of the Backstepping control strategy.
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Currently, many techniques based on steady state analysis have been applied to diagnosis of the AC machines. In this paper, it will be shown how the Park vector analysis can improve inter-turn faults detection. While the fault detection... more
Currently, many techniques based on steady state analysis have been applied to diagnosis of the AC machines. In this paper, it will be shown how the Park vector analysis can improve inter-turn faults detection. While the fault detection become easy by using the thickness and the shape of the Park vector. The simulation and experimental results confirm largely the effectiveness of the proposed technique.
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Abstract.This paper deals with voltage and frequency control of a stand-alone wind energy conversion system (WECS) based on a double fed induction generator (DFIG) under wind speed and load variations. In this context, two kinds of linear... more
Abstract.This paper deals with voltage and frequency control of a stand-alone wind energy conversion system (WECS) based on a double fed induction generator (DFIG) under wind speed and load variations. In this context, two kinds of linear and nonlinear control strategies, classical PI and backstepping, have been applied to the system in real time. A series of experiments have been conducted to evaluate and to compare dynamic performances of the proposed control approaches. Experiments on a 1.5Kw doubly fed induction machine in real time are carried out using dSpace DS1104 card based on the MATLAB/Simulink environment. Experimental results show the validity of implemented controllers and demonstrate the effectiveness, the precision and the rapidity of the backstepping control strategy compared with the PI controller.
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Maximum power point trackers are so important in photovoltaic systems to improve their overall efficiency. This paper presents a photovoltaic system with maximum power point tracking facility. An intelligent Sliding mode controller method... more
Maximum power point trackers are so important in photovoltaic systems to improve their overall efficiency. This paper presents a photovoltaic system with maximum power point tracking facility. An intelligent Sliding mode controller method is proposed in this paper to achieve the maximum power point tracking of PV modules. The system consists of a photovoltaic solar module connected to a DC-DC boost converter. The system is modeled using MATLAB/SIMULINK. The system has been experienced under disturbance in the photovoltaic loads and irradiation levels. The simulation results show that the proposed maximum power tracker tracks the maximum power accurately and successfully in all tested conditions. The MPPT system is then experimentally implemented. DSPACE is used in the implementation of the MPPT hardware setup for real-time control. Data acquisition and system control are implemented using dSPACE 1104 software and digital signal processor card. The experimental results show the efficiency of the proposed algorithm and confirm the simulation results.
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In this paper, we will discuss the technique of ripple correlation control (RCC) applied to photovoltaic maximum power point tracking (MPPT). To deliver maximum power from the photovoltaic system to the load under climatic variations, and... more
In this paper, we will discuss the technique of ripple correlation control (RCC) applied to photovoltaic maximum power point tracking (MPPT). To deliver maximum power from the photovoltaic system to the load under climatic variations, and to control a boost converter, MPPT based on ripple correlation control (RCC) technique has been used. Also to improve the performance of this MPPT and to overcome the uncertainties and perturbations in the photovoltaic system, a strategy of two-layer control structure are developed to effectively handle it. The first part of the strategy use the ripple correlation control (RCC) technique, and the second part use aPI controller. This algorithm was experimentally implemented. Data acquisition and control system were implemented using dSPACE1104. The practical results show that the proposed system tracked the maximum power accurately and successfully under the change of solar irradiation.
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Abstract.Nowadays, a global interest for renewable energy sources has been growing intensely. In particular, a wind energy has become the most popular. In case of autonomous systems, wind energy conversion system (WECS) based on a double... more
Abstract.Nowadays, a global interest for renewable energy sources has been growing intensely. In particular, a wind energy has become the most popular. In case of autonomous systems, wind energy conversion system (WECS) based on a double fed induction generator (DFIG) is widely used. In this paper, in order to control the stand-alone system outputs under wind speed and load variations, three kinds of nonlinear control strategies have been proposed, applied and compared, such as: Classical PI controller, Back-Stepping and Sliding Mode controllers. A series of experiments have been conducted to evaluate and to compare the developed controllers’ dynamic performances under load demand and speed variations. The design and the implementation of different control strategies to a 1.5kW doubly fed induction machine is carried out using a dSpace DS1104 card based on MATLAB/Simulink environment. Experimental results are presented to show the validity of the implemented controllers and demonstrate the effectiveness of each controller compared with others.
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Research Interests: Computer Science, Fuzzy Logic, Solar Power, Photovoltaic, adaptive neuro fuzzy inference system (ANFIS), and 10 moreANFIS, MPPT, Dc-Dc Boost Converter, Pulse Width Modulation, solar PV power plants, Neuro Fuzzy, Maximum Power Point Tracking, Photovoltaic system, Fuzzy Control System, and Proportional Integral controller
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In this paper, the control of an autonomous doubly fed induction generator (DFIG) based Wind Energy Conversion System (WECS) with unbalanced loads is studied. The most used index for calculating the imbalance rate is the Voltage Unbalance... more
In this paper, the control of an autonomous doubly fed induction generator (DFIG) based Wind Energy Conversion System (WECS) with unbalanced loads is studied. The most used index for calculating the imbalance rate is the Voltage Unbalance Factor VUF. To maintain the Voltage Unbalance Factor $VUF$ on the stator side to reasonable values of the order of 1–2 %, an auxiliary three-phase voltage system is integrated on the rotor side of the generator. Its RMS value and phase are fixed in order to compensate the stator voltage unbalance. Experimental results are carried out using a DFIG and a dSpace DS1104 card. These results demonstrate that the proposed strategy can maintain $VUF$ under 0.02 for strict limits of unbalance and, consequently to obtain a balanced system at the output of the machine even when the loads are unbalanced.
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The Linear parameter Varying and sliding mode observers are studied in this paper. Both the rotor resistance and speed variation are considered. The design of the considered observers is described in detail. In order to conduct a... more
The Linear parameter Varying and sliding mode observers are studied in this paper. Both the rotor resistance and speed variation are considered. The design of the considered observers is described in detail. In order to conduct a comparative study, the measurements used for both observers are assumed available on an equal basis. Equally, the same controllers parameters are used in simulation of a field oriented control scheme. In terms of variations of motor parameters, the estimations of observers are compared on a basis of errors estimation either during transient and steady state operations.
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meds.naitsaid. @ yahoo.Jr, Abstract - This paper presents a decoupled indirect control of double fed induction generator intended to control the generated stator powers. This control is obtained from a some assumptions allowing to get the... more
meds.naitsaid. @ yahoo.Jr, Abstract - This paper presents a decoupled indirect control of double fed induction generator intended to control the generated stator powers. This control is obtained from a some assumptions allowing to get the stator powers control from the injected rotor current which are fustily controlled in over to consolidate the decoupling control of active and reactive stator
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This paper deals with MRAS Speed sensorless Vector Control of Induction motor, where the adaptive mechanism include two parallel loops having Type-2 Fuzzy Logic Controller (T2FLC) and low-pass filter. The main advantage of this controller... more
This paper deals with MRAS Speed sensorless Vector Control of Induction motor, where the adaptive mechanism include two parallel loops having Type-2 Fuzzy Logic Controller (T2FLC) and low-pass filter. The main advantage of this controller is the consideration of the uncertainties in the linguistic rules of the estimated models. The stability of the closed loop is guaranteed by the Lyapunov function, and the robustness face to parameter variation at low speed range is proven. The simulation results show the effectiveness of our new approach.
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This paper presents the modeling and simulation of the Doubly Fed Induction Generator (DFIG) for electric power generation from Wind Energy Conversion System (WECS). A simpler model of the generator is presented. A control based on the... more
This paper presents the modeling and simulation of the Doubly Fed Induction Generator (DFIG) for electric power generation from Wind Energy Conversion System (WECS). A simpler model of the generator is presented. A control based on the theory of the control by orientation of the rotor flux is presented. The latter comprises two control loops for adjusting the stator voltage and the rotor current to their reference values. For this purpose PI classic regulators are used. To validate this study a DFIG of 4 kW is used. The simulation is performed under Matlab/Simulink.
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This paper deals with, a new approach for faults detection and estimation in the stator windings of the three phases induction motor. Firstly, the classical MRAS method is used for the online estimation of the stator resistance. The... more
This paper deals with, a new approach for faults detection and estimation in the stator windings of the three phases induction motor. Firstly, the classical MRAS method is used for the online estimation of the stator resistance. The estimator well identifies the symmetric fault introduced in the three phases of the stator. However, this technique is not an efficient method for the estimation of asymmetric fault problems. In order to overcome this limitation, we propose a new diagnosis technique, which is based on the use of the error between the measured stator currents of the machine and the estimated ones obtained from the virtual model of the same machine. Therefore, fin adaption mechanism (PI), is used to estimate the unbalanced fault in the three stator phases. This method has been designed to be stable for different operating modes. Simulation and experimental results show the effectiveness of the proposed approach.