Browsing by Author "Metidji, Brahim"

Now showing 1 - 6 of 6

Design and implementation of three-level inverter for grid-tied PV systems
(IEEE, 2017) Ayachi Amor, Nourdine; Ayachi Amor, Nourdine; Kheldoun, Aissa; Metidji, Brahim
High quality voltage and current are required when PV generator is connected to grid utility. To this, multilevel inverters are very desirable to be used as connection interface. To keep the cost of the whole system as low as possible, a cost-effective control device using STM32F4 discovery board is employed to control three-level inverter that can be used in grid-tied PV system. The paper develops and implements the control strategy of simplified space vector pulse width modulation (SVPWM) algorithm using Matlab/Simulink software. Obtained experimental results depict the powerfulness of used card as well as the high quality of the delivered power
Design and implementation of three-level T-type inverter based on simplified SVPWM using cost-effective STM32F4 board
(Inderscience Online Journals, 2021) Amor, Yacine Ayachi; Kheldoun, Aissa; Metidji, Brahim; Hamoudi, Farid; Merazka, Abdeslam; Lazoueche, Youssouf
This paper investigates the design and validation of simplified space vector pulse width modulation (SVPWM) as a switching control for a three-phase three-level T-type inverter using STM32F4 board interfaced with MATLAB/Simulink environment. Usually, the SVPWM algorithm implemented using either DSP card or Dspace platform, which affects the cost of the system. On the contrary, the proposed algorithm offers a great reduction of computations compared with the conventional one, which grants an easy digital implementation. Thanks to the geometrical symmetry of six sectors, in which exists a close relationship between on-time calculations and on-time arrangement of the switching states. This can be exploited for the remaining sectors based on a single computation that relies on the first sector only. The proposed algorithm has been validated in both simulation and experimental tests. The results show the ability and the flexibility of using the STM32F4 board to drive a three-level T-type inverter
Design of sparse matrix converter
(2018) Boumedine, Youcef; Reziki, Mohamed Lamine; Metidji, Brahim
The aim of this project is to design and implement the Sparse Matrix Converter. The Sparse Matrix Converter consist of 15 Transistors, 18 Diodes, and 7 Isolated Driver Potentials. Compared to the direct matrix converter this type provides identical functionality, but with a reduced number of power switches and an improved zero DClink current commutation scheme. It provides lower control complexity and higher safety and reliability. In the matrix converter, modulation and control techniques are so far the principal topic of research and development as the practical experience is still very limited since it is a new technology still in development. MATLAB/SIMULINK modeling and simulation of the Sparse Matrix Converter loaded by passive RL load are performed. Also, the necessary hardware has been implemented. It can be noticed that the three-phase sparse matrix converter can be used to replace of the conventional rectifier-inverter based converter. The advantages of the Sparse Matrix Converter in short are the inherent four-quadrant operation and the absence of bulky DC-link
Design of speed sensorless control of induction motor based on Dual-Nonlinear control technique
(IEEE, 2020) Ammar, Abdelkarim; Ameid, Tarek; Azzoug, Younes; Kheldoun, Aissa; Metidji, Brahim
This paper deals with performance improvement of direct flux and torque control of induction motor. The proposed algorithm consists of the combination of tow nonlinear control approaches. A decoupled control design is done by the exact feedback linearization control. Since, wastes the control stability and robustness while the presence of disturbance and modeling inaccuracy, it is recommended to be associated with a robust control approach like second-order sliding mode control (SOSMC). Therefore, the super twisting algorithm is integrated as auxiliary inputs to the feedback linearization control law to achieve robust feedback linearization control. On the other hand, the high-performance control design requires accurate knowledge of different control variables such as stator flux and rotor speed. instead of using costly and fragile sensors that may increase the volume and decrease the reliability of the control system, a proposed sliding super twisting observer and model reference adaptive system serves as sensorless algorithms for rotor speed and flux estimation in wide speed region. This conjunction is intended to enhance the overall control performances and speed/flux estimation, especially at low-speed operations. An experimental study has been done using MATLAB/Simulink with dSpace 1104 real-time interface for investigating the performance of the proposed algorithms
An experimental assessment of direct torque control and model predictive control methods for induction machine drive
(IEEE, 2018) Ammar, Abdelkarim; Kheldoun, Aissa; Metidji, Brahim; Talbi, Billel; Ameid, Tarek; Azzoug, Younes
Finite-State Model Predictive Control methods (FS-MPC) have been presented recently in the field of electrical drive and power electronics as an alternative to the conventional strategies. This paper presents a comparative evaluation between Direct Torque Control (DTC) and two finite-state model predictive control strategies applied to induction motor drive. Both DTC and MPC are nonlinear control techniques which dispense with the use of modulation unit (i.e. pulse width modulator (PWM) or space vector modulator (SVM)). DTC can provide good decoupled flux and torque control using pair of hysteresis comparators and look-up switching table for voltage vectors selection. In contrast with the model predictive control which includes the inverter model in control design. The optimal selection of inverter switching states minimizes the error between references and the predicted values of control variables by the optimization of a cost function. The effectiveness of applied algorithms is investigated by an experimental implementation using real-time interface (RTI) based on dSpace 1104
Robust model predictive control for induction motor drive using disturbance observer with MRAS speed estimator
(IEEE, 2021) Ammar, Abdelkarim; Kheldoun, Aissa; Metidji, Brahim; Benakcha, Meryem; Bourek, Amor; Benakcha, Abdelhamid
Predictive torque control (PTC) has a similar architecture to direct torque control (DTC). Instead of using a look-up switching table and hysteresis comparators, this technique assesses the torque and stator flux as a cost function. It incorporates the inverter model into the control design and avoids the use of any modulation bloc. sensorless predictive torque control is investigated in this paper. The use of a sensorless algorithm can reduce the cost of the drive while also increasing its reliability. Dual observer structures will be introduced into the overall PTC scheme in this work. As a speed estimator, the model reference adaptive system (MRAS) is proposed. Then, apply a load disturbance observer (DOB). This work proposes an improvement to the external speed control loop. The DOB can assure precise speed monitoring and increase the speed loop's disturbance rejection performance in addition to estimating the applied load torque. A numerical simulation utilizing MATLAB/Simulink software is used to verify the effectiveness of the proposed algorithms