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This paper is focused on the improvement of the grid current at the point of common coupling of a three-phase grid connected photovoltaic system supplying a non-linear load. This improvement is achieved by using the PV inverter as a shunt active power filter in addition to its main function of power injection in the grid. The shunt active power filtering is performed to compensate the disturbing grid...
This paper is focused on the improvement of the grid current at the point of common coupling of a three-phase grid connected photovoltaic system supplying a non-linear load. This improvement is achieved by using the PV inverter as a shunt active power filter in addition to its main function of power injection in the grid. The shunt active power filtering is performed to compensate the disturbing grid...
For decades, the electric power grid remained the same until the advent of Distributed Generation (DG) and the spread of Information and Communication Technologies (ICTs). Besides, the ancient power grid has become ill-suited to the need of the 21st century. Accordingly, the traditional grid has witnessed radical transformations into Smart Grid. The ancient grid has become smarter and bigger, thus...
Smart grid technology is progressing worldwide. Various Countries are investing to transform their traditional power grid to Smart grid. They have started realigning their organization to support a Smart grid vision. At this initial stage some software models are required to quantify; evaluate, monitor the progress and plan for the realization of a smart grid. This paper provides a detailed description...
This paper presents a remote DC motor control using embedded Linux and FPGA technologies. The proposed work is based on a codesign architecture where an embedded Linux operating system running on Beaglebone communicates to an FPGA via SPI protocol with master slave scheme. In this work an experimental PWM DC motor drive has been realized by using an arm-based platform supported by a Linux compatible...
This paper is focused on the investigation of the harmonic content and the harmonic distortion of the voltage and the current of pulse width modulation voltage source inverter motor. Therefore, to give a well comprehension of the harmonic problem into the motor, this paper presents first a thorough analysis of the major detrimental effects of harmonics on the performance and on the life span of the...
This paper provides a detailed description of the steps involved in design of an embedded data acquisition based on Linux. Embedded board based on Linux operating system such as BeagleBone is used to develop a modern web page for data collection using PHP and Mysql.
Currently, the motor controllers need various functions such as real time control and communication capabilities with remote host computer. This paper presents a communication TCP/IP module to control a DC motor. Pulse Width Modulation was employed so as to drive the motor at the desirable speed. the control of the motor via PID controller in order to maintain the desired speed regardless of load...
A non invasive method to detect and diagnosis automatically in an early stage the broken bars fault in the rotor of the induction motor is presented. This method is based on monitoring suitable features by a feedforward Multi Layer Perceptron Neural Network. These features are extracted from the spectral component of the residual “d” current. A diagnostic robustness towards parametric variations (temperature,...
Induction motor-gearbox group vibrations, caused by bearing defects, result in the modulation of the stator current. In this research, bearing defect is detected using the stator current analysis and mechanical vibration. The advantage of this method is in the detection of incipient faults. Faulty balls in bearing suspension and eccentricity are the relatively common faults in induction motors coupled...
This paper presents a neural approach to detect and locate automatically an interturn short-circuit fault in the stator windings of the induction machine. The fault detection and location are achieved by a feedforward multilayer-perceptron neural network (NN) trained by back propagation. The location process is based on monitoring the three-phase shifts between the line current and the phase voltage...
In order to avoid a complete degradation of an Induction Motor (IM) and to direct the maintenance task, the detection and location of an early fault is of great concern.
In this paper, the authors propose a new modeling approach to describe a squirrel cage induction machine using object oriented methodology. Our goal is to provide a simulation kernel that generates automatically electrical parameters matrices (resistance, inductance and mutuals matrix). This approach is mainly based on decomposing the induction motor into elementary objects that abstract real world...
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