Radhwane SADOUNI

This paper presents a performances study of a Direct Torque and Flux Control (DTC) for a double feed Induction Machine (DFIM). This method has become one of the high performance control strategies for AC machine to provide a very fast torque and flux control. The performance of DTC strongly depends on the quality of the estimated actual stator flux and torque. The simulation results show the effectiveness and the robustness of the proposed method in both dynamic and steady state response. Keywords : Double Feed Induction Machine (DFIM), Direct Torque Control (DTC), Flux Estimator, Hysteresis comparator.

This paper concerns the study of a control strategy known as fuzzy direct control for the study of the control of torque when using speed loop regulation of double start induction motor. Thus hysteresis comparators used on the classical method of direct control of torque has been replaced with fuzzy blocs. As results we achieved can be summarised as follows: 1-amelioration the responding time of the system 2-Minimization of the torque ripples.

We present in this paper a comparative study between two most popular control strategies of electrical machines: field oriented control (FOC) and direct torque control (DTC) for controlling a Dual Three Phase Induction Motor. The comparison is based on several criteria including: static and dynamic performance, structure and implementation complexity, decoupling, torque and current ripple, etc... Also, we present in this study the advantages and disadvantages of each control scheme, the best is the one that better meets the requirements.

We present in this paper a novel DTC - SVM scheme for a Dual Star Induction Motor fed by two 3 levels inverter with NPC structure, this type of inverter has many points of interest in comparison with the conventional 2 levels inverter, such as: sinus waveforms of the output voltage, low THD of voltage and current and low switching frequency. Also, we present in this article an improved direct power control with virtual flux (DPCVF - SVM) for the control of three phase rectifier. It is shown that the DPC-SVM presents several advantages: constant switching frequency, good dynamic response, sinusoidal line currents ...etc.

This paper presents the direct vector control scheme for a dual stator induction machine fed by a two pulse width modulation voltage source inverters. The simulation results show that the direct vector control with Fuzzy controller provides good dynamic performances and presents a great robustness and efficiency.

We present in this paper, a comparative study between a PI regulator and fuzzy regulator for a control speed of a Dual Star Induction Machine (DSIM) supplied with a two PWM voltage source inverter (VSI) and decoupled by field-oriented control (FOC).The simulation results illustrate the robustness and efficiency of the fuzzy regulator to the parametric variations.

This paper presents a performances study of a Direct Torque and Flux Control (DTC) for a double feed Induction Machine (DFIM). This method has become one of the high performance control strategies for AC machine to provide a very fast torque and flux control. The performance of DTC strongly depends on the quality of the estimated actual stator flux and torque. The simulation results show the effectiveness and the robustness of the proposed method in both dynamic and steady state response.

We present in this paper a novel DTC-SVM scheme for a Dual Star Induction Motor fed by two 3 levels inverter with NPC structure, this type of inverter has many points of interest in comparison with the conventional 2 levels inverter, such as: sinus waveforms of the output voltage, low THD of voltage and current and low switching frequency. Also, we present in this article an improved direct power control with virtual flux (DPCVF-SVM) for the control of three phase rectifier. It is shown that the DPC-SVM presents several advantages: constant switching frequency, good dynamic response, sinusoidal line currents. .. etc.

This paper presents the direct vector control scheme for a dual stator induction machine fed by a two pulse width modulation voltage source inverters. The simulation results show that the direct vector control with Fuzzy controller provides good dynamic performances and presents a great robustness and efficiency.

This paper presents a performances study of a Direct Torque and Flux Control (DTC) for a Six Phase Induction Machine (SPIM) dedicated to electrical drives using a two level voltage source inverter (VSI). This method has become one of the high performance control strategies for AC machine to provide a very fast torque and flux control. The simulation results show the effectiveness of the proposed method in both dynamic and steady state response.

This paper presents direct torque control based on artificial neural networks of a double star synchronous machine without mechanical speed and stator flux linkage sensors. The estimation is performed using the extended Kalman filter, which is known for its ability to process noisy discrete measurements. The proposed approach consists of replacing the switching tables with one artificial neural network controller. The output vector of the artificial neural network controller is directed to a multilevel switching table to decide which reference vector should be applied to control the two five-level diode-clamped inverters. This inverter topology has the inherent problem of DC-link capacitor voltage variations. Multilevel direct torque control based on a neural network with balancing strategy is proposed to suppress the unbalance of DC-link capacitor voltages. The simulation results presented in this paper highlight the improvements offered by the proposed control method based on the extended Kalman filter under various operating conditions.

We present in this paper a comparative study between two most popular control strategies of electrical machines: field oriented control (FOC) and direct torque control (DTC) for controlling a Dual Three Phase Induction Motor. The comparison is based on several criteria including: static and dynamic performance, structure and implementation complexity, decoupling, torque and current ripple, etc... Also, we present in this study the advantages and disadvantages of each control scheme, the best is the one that better meets the requirements.

This paper presents a robust control based on fuzzy logic and sliding mode for the speed regulation of a Dual Star Induction Machine (DSIM), supplied by two PWM voltage source inverter (VSI) by means of Photovoltaic Generator using a maximum power point tracking (MPPT) control, and decoupled by Field Oriented Control (FOC). However, the principal drawback of sliding mode is the Chattering effect which characterized by torque ripple, this phenomena is undesirable and harmful for the machines, it generates noises and additional forces of torsion on the machine shaft. In order to reduce the Chattering effect, the Sign function of sliding mode controller discontinuous part is replaced by a fuzzy logic function; we will have the fuzzy sliding mode controller (FSMC). The simulation results show that the proposed method is insensitive to parameter variations (rotor resistance, inertia) and load disturbances; it has very interesting dynamic performances (fast response without overtaking and fast speed inversion time). The FSMC makes it possible to combine the performances of the two types of controllers (SMC and FLC) and eliminates the Chattering effect.

This paper concerns the study of a control strategy known as fuzzy direct control for the study of the control of torque when using speed loop regulation of double start induction motor. Thus hysteresis comparators used on the classical method of direct control of torque has been replaced with fuzzy blocs. As results we achieved can be summarised as follows: 1-amelioration the responding time of the system 2-Minimization of the torque ripples.

The paper proposes a new architecture of solar water pumping system (SWPS) using a Dual Star Induction motor (DSIM). So far several
types of motors are used for SWPSs and to the author best knowledge; this is the first attempt to apply DSIM with optimum speed
control to such a system. The PV output maximum power is tracked using the conventional Perturb and Observe (P&O) algorithm.
This output power is modulated through the use of two PWM inverters to match the speed control of the DSIM. The latter is driving
centrifugal pump whose speed needs to be optimized to maximize the pump’s hydraulic parameters. To achieve this goal the indirect
rotor field oriented control scheme is adopted to overcome the motor’s nonlinear coupling. Besides, instead of using the conventional
PI speed controller, the paper suggests the use of fuzzy sets based – PI controller which shows better dynamic performances and
robustness against system uncertainties. Matlab/Simulink software is used to simulate and predict the behavior of the proposed SWPS
configuration with different climate conditions.

We present in this paper, a comparative study between a PI regulator and fuzzy regulator for a control speed of a Dual Star Induction Machine (DSIM) supplied with a two PWM voltage source inverter (VSI) and decoupled by field-oriented control (FOC).The simulation results illustrate the robustness and efficiency of the fuzzy regulator to the parametric variations.

This paper presents a maximum power point tracking (MPPT) applied to Dual Star Induction Machine supplied by photovoltaic solar panel. The indirect field oriented control with PI speed controller is used for the control of this machine fed by two PWM voltage source inverter. The simulation results using Matlab/Simulink environment prove the efficiency of the proposed method.