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This paper proposes a numerical approach for retrieving the parameters of photovoltaic (PV) panel. Based on the datasheet values, a numerical based Newton-Raphson algorithm is investigated for solving the current-voltage relation of a single diode solar PV model. To highlight the rigorous performance of our model, three modules of different technologies of PV were tested; these include the mono-crystalline,...
Our paper proposes a Space Vector Modulation for a matrix converter which supplies an RL load. Firstly, a detailed study of the direct matrix converter is presented with the control technique used. Then, detailed results of the simulations are given. Finally, a thorough discussion of the results is presented, showing the attractive features of the matrix converter, from different simulations using...
This paper presents a statistical approach to determine the capacity of Hybrid Energy Storage System HESS in an autonomous PV/Wind power system generation. A frequency management is used for distributing the power of HESS into two signals, which are defined according to their dynamics. A low-pass filter is designed to manage the power variation of each storage system in a frequency domain, such that...
Data-driven design of accurate Takagi-Sugeno (TS) fuzzy models has attracted the attention of many researchers in the last decade, where the model structures and parameters are important and often solved in an optimization problems. The Cuckoo Search (CS) method represents a powerful search approach and an effective optimization technique. However, the classical CS algorithm is not always optimal...
This study presents a sensorless control of wind-driven doubly fed induction generators (DFIG) connected to an isolated load. The direct voltage control is adopted to command the rotor side converter. A Model Reference Adaptive System (MRAS) based technique is used in this topology for the sensorless generator speed estimation. The proposed sensorless control system is robust against speed and load...
The production of electricity by a photovoltaic source depends and varies according to the climate changes; which perturbs and affects the optimal use of a photovoltaic system. This paper will set a comparison between a PID controller and a Sliding Mode Control. Both controllers are applied to an optimal algorithm in order to extract a maximum power from the photovoltaic generator. This study aims...
This paper proposes a control technique for a matrix converter topology with three phase fixed grid input and six-phase variable voltage variable frequency output. This proposed technique is based on low frequency Venturini method. A theoretical introduction of the direct matrix converter is presented followed a detailed explanation of the Venturini method and the six-phase matrix converter topology...
A power generation system has been formulated based on a doubly fed induction generator (DFIG) supplying isolated loads. The stator is connected to the isolated load. Only one bidirectional converter with a battery is employed on the rotor side. The direct voltage control (DVC) is applied to control the DFIG system. To regulate the voltage and frequency load, the error of the measured rotor current...
This paper presents a contribution to study and synthesis an optimal output feedback controller for a class of discrete-time nonlinear systems that can be represented by a Takagi-Seguno (T-S) fuzzy models. First, we interest for modelling and identification of the studied systems by using the clustering method. In particular, we use Gustafson-Kessel (GK) clustering algorithm. Second, we address the...
The fuzzy clustering model makes up one of the best approaches to show an excellent ability to identify and model nonlinear systems. In literature, several algorithms were used to solve this kind of case. Fuzzy c-means (FCM) is one of the most used clustering methods because it is efficient, straightforward, and easy to implement. However, the FCM has its weakness for example, the algorithm is generally...
Fuzzy c-means (FCM) and Gustafson-Kessel (GK) algorithms are the best popular fuzzy clustering techniques in terms of efficient, straightforward, and easy to implement. However, these algrithms are sensitive to initialization and easy to trap in the local minimum. The important issue is how to avoid getting a bad local minimum value to improve the cluster accuracy. In fact, the particle swarm algorithm...
In this paper, direct torque control (DTC) of a three phase permanent magnet synchronous motor (PMSM) one switch open-circuit fault is described. An extra inverter leg is employed to provide the current path during the fault operation.
In this paper, the design and the real time implementation of a novel non linear control algorithm to drive a Single Phase Induction Motor (SPIM) are presented. The control schema is based on the field oriented control strategy and requires the development of three controllers. A super twisting algorithm (STA) associated with a partial feedback linearization is applied to control the currents of both...
This paper presents the control of the speed problem for a Sensor-less Direct Torque Control (DTC) of permanent magnet synchronous motor (PMSM), using the Extended Kalman Filter algorithm (EKF) by only measuring the phase voltages and motor currents. Also, due to an angle modification scheme with error tracking, the Sensor-less drive system is robust to parameter variations. Simulation result is provided...
In this paper, we will study the influence of the blades and shaft's rigidity on the stability of wind generator when a voltage dip appears. First, we present the model of the wind turbine, taking into consideration all damping coefficients. In this case the turbine will be represented by a three masses model. Then, neglecting the turbine blades' damping model becomes two masses. Finally, considering...
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