SMS BASED HOME APPLIANCE CONTROL SYSTEM

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LCD BASED AUTOMATED ENERGYMETER READING SYSTEM

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INTELLIGENT INVERTER

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AUTO RESPONDING BRAKING SYSTEM

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AUTOMATIC SPEED BREAKERS ON ROAD

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ELECTRIC RFID COMMUNICATION VIA HUMAN BODY

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LPG GAS LEAKAGE DETECTION AND AUTORECLOSING SYSTEM

The aim of this project is to monitor foe LPG leakage to avoid fire accidents providing house safety feature where security has been an important issue. When the system detects the LPG concentration in the air that exceeds the certain limit then it immediately close the valve connected to the LPG gas cylinder using stepper motor and also alerts the people at home by activating the buzzer.

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AUTOMATIC SIGNALLING AND STREET LIGHT CONTROL AT THE CURVED ROADS BY THE USE OF PIEZO ELECTRIC SPEED BREAKERS

This project is designed for active signaling to avoid accidents on road ways of hill regions which are curved in nature and bone to have more accidents while driving the vehicle. The roadways are buildup with piezoelectric speed breakers at start and end of the curves. When a vehicle is passed through it, the speed breaker generates an electrical energy and this energy is used for providing electric signal to identify and giving a caution to vehicle coming from opposite side.

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POWER QUALITY IMPROVEMENT OF GIRD COUPLED DFIG BASED WIND ENERGY SYSTEM USING STATCOM WITH FUZZY LOGIC CONTROLLER

This project addresses power quality problems due to connection of wind turbine with the grid and proposes control techniques using Fuzzy Logic Controllers. This consists of a STATCOM connected at PCC with a BESS and a DFIG. Fuzzy Logic Controller mitigates the power quality issues and BESS is used to sustain the real power source under fluctuating wind power.

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A NEW CONTROL APPROACH FOR MAXIMUM POWER POINT TRACKING IN PHOTOVOLTAIC SYSTEM BASED ON MODIFIED HILL-CLIMBING METHOD

The photovoltaic power generating system consists of a PV panel, a converter and a controller. It is necessary to improve the efficiency of either of these sections to improve the overall efficiency of the system. But improving the efficiency of PV panel and converter is inexpensive. One of the commonly used techniques is MPPT algorithms to improve efficiency of the system. Hill climbing algorithm is most commonly used MPPT algorithm. In this project an artificial neural network based modified hill climbing algorithm is used.

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HYBRID RENEWABLE ENERGY SOURCE INTERFACE TO THE GRID AT THE DISTRIBUTION LEVEL WITH POWER QUALITY IMPROVEMENTS

This project presents an entirely unique management strategy for achieving maximum benefits from the grid-interfacing inverters once they are connected in 3-phase 4-wire distribution systems. By incorporating active power filter functionality, the inverter is controlled to perform as a multi-function device. The combination of grid-interfacing electrical converter and the 3-phase 4-wire linear/non-linear unbalanced load seems as balanced linear load to the grid with such a control.

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DIRECT FLUX AND TORQUE CONTROL OF THREE PHASE INDUCTION MOTOR WITH ARTIFICIAL NEURAL NETWORK BASED DTC

The direct torque control (DTC) of induction motor drive has several advantages such as fast dynamic response, simple and robust control structure and therefore it is commonly used in high performance control. But, there are some disadvantages with this method like high torque and current ripples, variable switching behavior and control problems at low speed rates. The purpose of this project is to find out the effects of ANN integrated DTC method on induction motor performance by numerical simulations. This consists of two different ANN models. Out of this, first ANN model select the optimum inverter and the second model is used for determination of flux vector position.

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ENHANCING POWER QUALITY IN MICROGRID USING FUZZY LOGIC CONTROLLER

Micro grids are eco friendly power systems because they use renewable sources such as solar and wind power as the main power source. Micro grid operations have to satisfy quality requirements in terms of frequency and voltage. Voltage fluctuations mainly resulting from variable output power of renewable energy sources and these are strictly challenging power quality in distribution-generation systems. To reduce the voltage and frequency deviation, this project propose fuzzy controller. Fuzzy controller provides zero steady state frequency deviation with step load increment in power system.

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