scholarly journals Transformer Parameters Monitoring System using MATLAB Simulink

Author(s):  
Ashish C. Jangam1 ◽  
Prof. D.G. Chougule ◽  
A. S. Mali

Transformer is an important component of an electrical distribution system. Hence it is important to monitor transformers for problems before faults occur. This system is about design and implementation of embedded system to monitor and record key parameters of a distribution transformer like load currents,voltage and temperature. It is installed at the distribution transformer site and the above parameters are recorded using the analog to digital converter (ADC) of the embedded system. The obtained parameters are processed and recorded in the system memory. If any abnormality or an emergency situation occurs the system takes immediate action to avoid it. This system will help the transformers to operate smoothly and identify problems before any failure. proposed system is low cost, easy to use capable of monitoring and displaying data using matlab[1,6].

2018 ◽  
Vol 9 (1) ◽  
pp. 79-82
Author(s):  
Albert-Zsombor Fekete ◽  
László Jakab-Farkas

Abstract This study presents the development of a pressure measuring unit based on a Pirani gauge and a dedicated embedded system, incorporating a simple, low-cost practical solution for significantly reducing the various measurement altering factors, such as drifts, offsets and set point drifts. This is achieved by eliminating the conventional differential analogue signal processing stage and replacing it with a high resolution analog to digital converter. Therefore the goal was to minimize the number of the electronic components whose operation is influenced by variations in ambient temperature. The main topics discussed in the paper include the presentation of the measuring circuit’s configuration, the development of a low-cost embedded system, the calibration method and the solution implemented for eliminating the platforms limitation regarding the precision of the different mathematical calculations.


Author(s):  
C. Hernández-Rosales ◽  
R. Femat ◽  
E. Ruiz-Velázquez ◽  
G. Solí­s-Perales

This paper shows how the INTEL © D8751H microcontroller can be used to control the motion of a DC-Gearmotor. One advantage of this design is that does not require external memory RAM/EPROM to perform the control of the motor. A precision potentiometer and an analog-to-digital converter (ADC) are used to measure the motor angular position. The ADC is driven by the ALE signal from the microcontroller; therefore an external signal clock is not required. In order to implement a discrete-time PI controller and a discrete-time filter, specific libraries were designed. Moreover, other libraries based on micro C® compiler, has been modified. Finally, experimental results show a good performance of the embedded system.


2011 ◽  
Vol 345 ◽  
pp. 217-222
Author(s):  
Peng He ◽  
Lian Peng Wang ◽  
Na Wang ◽  
Gang Xu

In order to better solve the problem of detection of small bone spurs with convenient and accurate way, a portable spur detection system is designed. This system, in view of spur reproducibility characteristic, is characterized by the application for a kind of the improved algorithm based on the OpenCV. And it was successfully transplanted into the embedded system. The experimental results indicated that this system might precisely examine the small spur with difficulty discovery by naked eyes used fully by two images of computed tomography which done in different periods. The spur detection system needs to be further improved function to realize more applications. In fact, function expansion based on the system is easy to realize.


2020 ◽  
Author(s):  
Roney D. da Silva ◽  
Heloise Assis Fazzolari ◽  
Diego Paolo Ferruzzo Correa

Getting the attitude of drones, underwater vehicles or other six degree of freedom (DoF) devices is one of the most challenging tasks in the project of navigation control systems. For this reason, many projects use proprietary software or are limited to simulations. This work presents a complete system for attitude determination capable of provide estimated attitude and calibrated measurements using MEMS, with a low-cost and low-power microcontroller. The accelerometer and magnetometer are calibrated online on the embedded system using least squares method without any external devices. The states estimation is computed with a fast algebraic quaternion algorithm (less than 1.5s) using an additive linear Kalman Filter and model measurements.


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