Informatics Publishing Limited

R. Saranya ¹, S. Saravana Kumar ¹, R. Baskaran ¹, A. Vinidha Roc ¹, K. Sathiyasekar ¹

Affiliations
1 Department of EEE, S.A. Engineering College, Chennai, Tamilnadu, IN

Abstract

The Brushless Direct Current (BLDC) motors are one of the motor types that is gaining rapid popularity. Its major appliances include refrigerators, washing machines, vacuum cleaners, freezers, etc. As the name implies, BLDC motors do not use brushes for commutation; instead, they are electronically commutated. This paper proposes a new optimized technique for the Sensorless operation of permanent magnet brushless direct current (BLDC) motor, which is based on back Electro Motive Force (back EMF), Zero Crossing Detection (ZCD). This proposed commutation technique of BLDC motor significantly reduces sensing circuits and cost of motor drive.

Keywords

Back Electromotive Force (EMF), Brushless DC (BLDC) Motor, Sensorless Control, Zero Crossing Detection.

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K. Sathiyasekar ¹, S. Karthick ², A. Priyadharsini ²

Affiliations
1 Department of EEE, S.A Engineering College, Thiruverkadu, Chennai, IN
2 Department of EEE, The Kavery Engineering College, Salem, IN

Abstract

Diabetic macular edema (dme) is an advanced symptom diabetic retinopathy. it causes damage to retina and may lead to complete or partial vision loss. exudates are the primary indication of diabetic retinopathy in this paper, different techniques were presented which is used for detecting the hard exudates. the segmentation of hard exudates is also achieved.

Keywords

Diabetic Retinopathy, Hard Exudates Detection, Neural Network, Fuzzy C-Means and K-Means Clustering Algorithm.

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R. Palanisamy ¹, K. Sathiyasekar ², P. L. N. Ramesh ³, K. G. Parthiban ⁴

Affiliations
1 Department of Electrical Electronics Engineering, Builders Engineering College, IN
2 Department of Electrical Electronics Engineering, Prathyusha Engineering College, IN
3 Department of Mechanical Engineering, Prathyusha Engineering College, IN
4 Department of Electrical Sciences, Adithya Institute of Technology, IN

Abstract

Distributed Generation systems (DGs) using solar is one of the new trends of power generation. These distributed generating units are integrated to form a micro grid and to serve the loads among the locality, which is in connection with the utility grid for power exchange. These distributed generation systems can be operated at two modes, Grid connected mode, and standalone mode. Distributed Generation (DGs) can provide high reliability by providing on-site generation and its advantages like the elimination of transmission losses, utilization of green fuels and reduction of load demand upon the utility grid resulting in a reduction of fossil fuel consumption. Many DGs are available like Photovoltaic (PV) cells, wind turbine, diesel and small hydro systems. However the output of solar arrays varies due to change of solar irradiation and weather conditions. In this work Altruistic Transformative method based HOMER design tool is used for the simulation and analysis of the solar power system which simplifies the task of evaluating designs. HOMER’s optimization and sensitivity analysis algorithms make it easier to assess a possible number of design configurations. It provides highly possible simulation results compared to the other conventional techniques. Over 95% efficiency is achieved by using an Altruistic Transformative method based HOMER solar grid design, when compared with other techniques like Fuzzy and Incremental Conductance (INC).

Keywords

Photovoltaic System, Distributed Generators, HOMER Software, Boost Converter, Grid Tie Inverter, Fuzzy Logic Controller.

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