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Full-Text Articles in Engineering

Direct Torque Control Of An Lnduction Machine Using Multi-Layer Perceptron Network, Adithya Chandrashekharan Dec 2014

Direct Torque Control Of An Lnduction Machine Using Multi-Layer Perceptron Network, Adithya Chandrashekharan

Masters Theses

In conventional direct torque control (DTC) scheme of induction motor (lM), Proportional Integral Controller (PI) is used as the speed controller. PI controller is more suitable in steady state condition and for linear system but both DTC and IM are mostly nonlinear. Multi-Layer perceptron neural network. (MLPNN) controller is more suitable and performs better than PI controller. The switching table of the conventional DTC is replaced by the MLPNN controller. The MLPNN inputs are, the magnitude of the stator flux, torque and the Voltage sectors. Levenberg-Marquardt back propagation technique has been used to train the MLPNN. The output of the …


Improved Accuracy In Real-Time Rfid Localization Systems Using Kalman Filtering, Benjamin J. Sanda Jun 2014

Improved Accuracy In Real-Time Rfid Localization Systems Using Kalman Filtering, Benjamin J. Sanda

Masters Theses

The use of Radio Frequency Identification (RFID) has become widespread in industry as a means to quickly and wirelessly identify and track packages and equipment. Now there is a commercial interest in using RFID to provide real-time localization. Efforts to use RFID technology for this purpose experience localization errors due to noise and multipath effects inherent to these environments. This paper presents the use of both linear Kalman filters and non-linear Unscented Kalman filters to reduce error effects inherent to real-time RFID localization systems and provide more accurate localization results in indoor environments. A commercial RFID localization system designed for …


Design Of Hardware Accelerator For Fuzzy Automaton Using Dynamic Reconfiguration, Chinh K. Nguyen Apr 2014

Design Of Hardware Accelerator For Fuzzy Automaton Using Dynamic Reconfiguration, Chinh K. Nguyen

Research and Creative Activities Poster Day

Introduction

Nowadays, computational intelligence has been applied to transform human behavior and experience into mathematical representations that can be interpreted by computer programs. The development of intelligent control systems and intelligent decision support systems (IDSS) (Fig. 1) are part of this trend. Moreover, Partial reconfiguration allows some regions of the FPGA to be dynamically reconfigured while other tasks are still running in the remainder of the device. A hardware accelerator was developed for a fuzzy automaton-based decision support system in the context of testing eye-hand coordination skills for handicapped children. A Zynq-7000 FPGA platform (Fig. 3) was used for this …


Removing Interference From Above Ground Reflectors In Ground Penetrating Radar Data, Vincent Krause Apr 2014

Removing Interference From Above Ground Reflectors In Ground Penetrating Radar Data, Vincent Krause

Research and Creative Activities Poster Day

This poster considers the background and approach to removing interference from above ground reflectors in ground penetrating radar data.


Smart Home Node For Local Wireless Applications, Lalith Narasimhan Apr 2014

Smart Home Node For Local Wireless Applications, Lalith Narasimhan

Research and Creative Activities Poster Day

This research investigated the possibility of implementing a multifrequency and multiprotocol wire-less smart home node by using Universal Software Radio Peripheral (USRP) and the open-source GNU Radio platform. Such an implementation could provide a high level of interoperability between various devices leading to a higher level of flexibility and easier implementation of current and future smart home standards and protocols.


An Adaptive Kalman Filter For Voltage Sag Detection In Power Systems, Hisham Odeh Alrawashdeh Apr 2014

An Adaptive Kalman Filter For Voltage Sag Detection In Power Systems, Hisham Odeh Alrawashdeh

Dissertations

The exact values of the noise covariance matrix of the Kalman filter state vector Q and the measured signal noise covariance matrix R must be obtained in order to achieve the optimal performance of the Kalman filter. There have been many techniques and assumptions made to evaluate and compute Q and R. The effects of Q and R are investigated in detail in this dissertation. Based on these investigations, the Kalman filter has been modeled to detect the fundamental signal amplitude variations of power system signals. This technique helps in evaluating voltage sags in power systems.

Two algorithms are …


Electrical And Computer Engineering Department 2013-2014 Newsletter, College Of Engineering And Applied Sciences Jan 2014

Electrical And Computer Engineering Department 2013-2014 Newsletter, College Of Engineering And Applied Sciences

Electrical and Computer Engineering Newsletter

  • A Word from the Department Chair
  • New Faculty
  • Exploring the Intersection of Biology and ECE
  • Laboratory Upgrades
  • New Initiatives
  • Student Highlight
  • Students Create New Startup
  • Senior Design Highlights
  • Student Organizations
  • Student Highlight
  • Chaotic Circuits
  • Recent Publications and Grants