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| WINTER-SPRING 2008 | |||||||||||||||||||||||||
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Table of Contents
Torque Control of Switched Reluctance Motors Using a
Fuzzy Iterative Approach R. Gobbi and N. C. Sahoo PP. 1-8
Intelligent Controller for DTC Controlled Matrix
Converter Cage Drive System R. R. Joshi, R. A. Gupta, and A. K.
Wadhawani PP. 9-16
An Approach on Installation and Limitation of WPG in
an EPS under System Steady Constrains B. Kermanshahi, Z. Litifu, and C. H.
Kelvin Chu PP. 17-22
Probabilistic OPF Approach for Transmission Expansion
Planning in Restructured Power Systems M. Parsa Moghaddam, H. Abdi, and M. H.
Javidi PP. 23-28 K. Ellithy and K. El-Metwally PP. 29-33
A New Space Vector Pulsewidth Modulation for
Reduction of Common Mode Voltage in Direct Torque Controlled Induction
Motor Drive Y. V. Siva Reddy, M. Vijaya Kumar, and T. Brahmananda Reddy PP. 34-38
Bilateral Control of Teleoperation Systems with
Bounded Uncertain Time Delay A. Alfi and M. Farrokhi PP. 39-46
Discrete Sliding Mode Control for Processes with Long
Dead-Time D. Sha and V. B. Bajic PP. 47-53
Interpretation and Convergence Analysis of Two
Recently Introduced Adaptive Filter Algorithms (FEDS/RAMP) M. Shams Esfand Abadi, J. H. Husoy, and A. Mahlooji Far PP. 54-60
A New Active Method in Damping Possible Resonances
in Active Filters M. Rahimi, H. Mokhtari, and Gh. Zafarabadi PP. 61-67
Performance Amelioration of an Active Integrated
Spiral Antenna System for UWB Applications M. Jalali, A. Abdipour, A. Tavakoli, and G. Moradi PP. 68-72
An Efficient Sampling Approach for Mining all
Association Rules in Large Databases M. Deypir and M. H. Sadreddini PP. 73-78
A Constructive Method to Evaluate the Characteristic
Impedance in a Rectangular Transmission Line Z. Brito-Brito, J. H. Caltenco R. Linares y M., and J. Lopez-Bonilla PP. 79-82 Abstracts:
Torque Control of Switched
Reluctance Motors Using a Fuzzy Iterative Approach R. Gobbi* and N. C. Sahoo** * Faculty of Engineering, Mulrimedia University, Cyberjaya, Malaysia *
*Faculty
of Engineering and Technology, Multimedia University, Melaka, Malaysia
R. R. Joshi* , R. A. Gupta** , and A. K. Wadhawani*** * Department of Electrical Engineering, CTAE, MPUAT, Udaipur (Raj.), India ** Department of Electrical Engineering, MNIT, Jaipur, (Raj.), India ***
Department of Electrical Engineering, MITS, Gwalior (MP), India Matrix converter induction motor drive system operated with a direct
torque control (DTC) shows a sluggish response during startup and under
changes of torque command. Fuzzy logic is used in conjunction with
direct torque control to minimize these problems. A fuzzy logic
controller chooses the switching states based on a set of fuzzy
variables. Flux position, error in flux magnitude and error in torque
are used as fuzzy state variables. Fuzzy rules are determined by
observing the vector diagram of flux and currents. The operation of the
direct torque controller becomes difficult at low speeds due to the
effect of change in stator resistance on the flux measurements. To
improve the system performance at low speeds a fuzzy resistance
estimator is proposed to eliminate the error due to the change in stator
resistance. At constant flux and torque commands any change in stator
resistance of the induction machines causes an error in stator current.
This error is utilized by the fuzzy resistance estimator to correct the
stator resistance used by the controller to match the machine
resistance. Both fuzzy controller and fuzzy resistance estimator are
implemented using DSP TMS320C6711 for a 3 hp induction motor drive
system. Results demonstrate enhanced performance. B. Kermanshahi*, Z. Litifu**, and C. H. Kelvin Chu*** * Department of Electrical and Electronics, Tokyo University of Agriculture and Technology, Tokyo, Japan Department of Electrical Engineering, CTAE, India ** Synthetic Research Centre of Ashikaga Institute of Technology, Tochigi, Japan *** Bell Laboratories Advanced Network Reliability and Security
Assessment & optimization, USA M. Parsa Moghaddam*, H. Abdi**, and M. H. Javidi** * Electrical Engineering Department, Tarbiat Modares University, Tehran, Iran ** Electrical Engineering Department, Razi University of Kermanshah, Kermanshah, Iran *** Electrical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran K. Ellithy* and K. El-Metwally** * Department of Electrical Engineering, Qatar University, Doha, Qatar **Department Electrical &
Computer Engineering, Sultan Qaboos University, Muscat, Oman Y. V. Siva Reddy*, M. Vijaya Kumar**, and T. Brahmananda Reddy* * Department of Electrical and Electronics Engineering, G. Pulla Reddy Engineering College, Kurnool, A.P, INDIA * *Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Anantapur, AP, INDIA
Bilateral Control of Teleoperation
Systems with Bounded Uncertain Time Delay A. Alfi* and M. Farrokhi** * Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran ** Department of
Electrical Engineering and with the Center of Excellence for Power System
Automation and Operation, Iran University of Science and Technology, Tehran
Discrete Sliding Mode Control for
Processes with Long Dead-TimeAn
Efficient Sampling Approach for Mining all Association Rules in Large
Databases D. Sha* and V. B. Bajić** * Ohio University, Athens, OH 45701, USA
Interpretation and Convergence
Analysis of Two Recently Introduced Adaptive Filter Algorithms
(FEDS/RAMP) M. Shams Esfand Abadi*, J. Håkon Husøy**, and A. Mahlooji Far*** * Shahid Rajaee University, Department of Electrical Engineering,
Tehran, Iran Abstract:
Fast Euclidean Direction Search (FEDS) [1] and Recursive
Adaptive Matching Pursuit (RAMP) [2] are two recently introduced
algorithms for adaptive filtering characterized by low computational
complexity, good convergence, and numerical robustness. While conceived
from quite different perspectives, we point out, that both algorithms
are closely related and can be interpreted as different variants of 1) A
matching pursuit procedure applied to a particular over-determined
equation set, 2) A constrained Least Squares (LS) optimization problem,
and 3) A Gauss-Seidel like iterative solution procedure applied to a
normal equation. Both FEDS and RAMP have been demonstrated
experimentally to possess excellent convergence behavior in several
application scenarios. However, a tool for predicting the convergence of
these algorithms based on second order statistics is lacking. This paper
provides such a tool to study the convergence analysis of these adaptive
filter algorithms. This tool relies on energy conservation arguments and
doses not restrict to assume specific models for the regression data.
Finally, we demonstrate through simulations that these results are
useful in predicting adaptive filter performance.
A New Active Method in Damping
Possible Resonances in Active Filters M. Rahimi*, H. Mokhtari*, and Gh. Zafarabadi** * Electrical Department of Sharif University of Technology, Tehran,
Iran Abstract: This paper investigates resonance
phenomenon in active filters. The paper studies the effect of
system/filter parameters on resonance conditions. It also proposes an
active technique for damping such resonances. The study is based on
modal analysis in which unstable modes or modes with slow damping are
first extracted. Then, using a new technique, such modes are
considerably damped. PSCAD/EMTDC software is also employed to verify the
performance of the proposed technique.
Performance Amelioration of an
Active Integrated Spiral Antenna System for UWB Applications M. Jalali*, A. Abdipour**, A. Tavakoli**, and G. Moradi** * Islamic Azad University, Tehran, Iran Abstract: This paper describes the implementation of an active integrated spiral
antenna for Ultra-Wideband (UWB) applications. By integrating a low–noise
amplifier (LNA) with an antenna, the voltage standing wave ratio (VSWR) can
be kept low for a large bandwidth and this antenna indicates a 13 dB
improvement in gain compared with one using a passive antenna having the
same design, resulting in an improved spiral antenna performance for UWB.
For the designed circuit in the UWB frequency range (3.1-10.6 GHz), the gain
of the LNA is better than 13dB, its noise figure is less than 3dB, and both
An
Efficient Sampling Approach for Mining all Association Rules in Large
Databases M. Deypir* and M. H. Sadreddini* * Department of Computer Science and Engineering, Shiraz University,
Shiraz, Iran Abstract:
Mining association rules is an interesting problem in the field
of knowledge discovery and data mining. In this paper a fast, new method
for mining association rules is presented. In this new sampling
approach, which utilizes FP-Growth to mine sample data, the candidate
generation and test in the sample data is omitted because of the FP-Tree
projection of sample data in the main memory. To overcome the main
memory limitation in the new sampling method, a useful technique is
proposed. Theoretical time consideration and empirical evaluation show
that the new sampling approach is superior to the traditional
Apriori-based sampling by orders of magnitude. Experimental evaluations
on artificial and real-life datasets show that our approach, compared
with a previously proposed sampling algorithm, is more efficient when
the minimal support threshold is decreased and is also more stable as
the size of the sample data increases.
A Constructive Method to Evaluate
the Characteristic Impedance in a Rectangular Transmission Line Z. Brito-Brito*, J. H. Caltenco**, R. Linares y M.**, and J. López-Bonilla** * SEPI ESIME Zacatenco, National Polytechnic Institute of México,
México Abstract:
A novel method to determine the characteristic impedance of a
rectangular transmission line, through the evaluation of lumped
parameters, is presented. Leaving of the current distribution that
circulates in the central conductor is also compared with a technique
that leaves the determination of the magnetic field inside the
structure. The obtained results were satisfactory.
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ISSN:
1682-0053 |
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Last Updated 30/1/2009 |
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Copyright (C) 2002-2009 by Jahad Daneshgahi |
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