Project on ROBOT ARM :

Our project is a twenty four and half inch aluminum frame robotic arm with four degrees of freedom. 
In our project we made the arm the second player in the classic game of Tic-Tac-Toe to demonstrate its programmable repeatable motion.  The arm consists of five servo motors, four to control the motion and one to control the end effecter (gripper). The arm moves tic-tac-toe pieces onto a board for its opponent and itself to give the user interactive control over the arm. 
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Project on Smart House power System

This project implements a smart algorithm in order to power a house with a photovoltaic, batteries or the power grid.  For this project, we worked closely with a research team whose goal is to power a home with minimal power from the power grid.  In order to form this smart home, we needed to monitor the voltage and current flow from each of the sources (photovoltaic, batteries, and the grid) and the home.  We implemented these current and voltage monitors.  The next step was to come up with an algorithm that would determine what source should be powering the house and when the battery should be charged.  The final step was to send out data to a home display module so that the data can be analyzed.
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Project On Robotic Car Traction Control

Robotic vehicles are becoming increasingly complex and often need high levels of movement control. Specifically, when the wheels of a vehicle begin to slip, it is optimal to adjust their speed so that the vehicle moves towards its intended direction. Applications include vehicles traveling over rough terrain, exploratory robots, and remote controlled cars. The purpose of our project is to design and implement a four wheel drive robot that monitors the rotational velocity of each wheel and limits the amount of slip when the vehicle is accelerating.

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Analysis of Frequency Response of Synchronous Machines Using the Magnitude Data

Over the past two decades, frequency response tests have become widely accepted as an alternative for determination of synchronous machine parameters. As a machine equivalent circuits move towards the high order models, designers need to analysis the performance and characteristics of the frequency response tests data. A major benefit of frequency response tests allows a more accurate modelling for the direct and quadrature axis. The normal approach is to use numerical curve-fitting techniques to match the measured data with the initial estimates time constants.
Due to the difficulty of estimating the higher order models, this thesis project is undertaken to design and implement the time constant extraction using an analytical method. This task can be divided into two steps: Firstly, the research into current methods used for determining the both axes equivalent circuit parameters. Secondly, development of the mathematical model was to be performed using theoretical analysis and then implement the design into the simulation program using the MATLAB software. The design program will only focus on the magnitude data of the step response. This program did not require an intimate understanding of the system order to be develop but utilized only the step response of the system.

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