Design, Control and Fault Diagnosis of Industrial Drives

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29 Οκτ 2013 (πριν από 3 χρόνια και 9 μήνες)

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Design, Control and Fault
Diagnosis of Industrial Drives

Department of

Electrical and Computer Engineering

University of Tehran

August 25, 2004

Control and Intelligent Processing

Center of Excellence

August 25, 2004

2

Introduction


Motivation and Scope:

Embedded intelligent
derives has been emerged as a pivotal part of
modern industrial networks, where different parts
of the system, including motor, driver, and
controller are designed in a coherent unified
design process, making them an integrated part of
a large distributed industrial network.


Objectives:

To develop intelligent methods in
design and implementation of industrial drive
systems including motor, driver, and controller,
with fault diagnosis capability


August 25, 2004

3

Sub
-
projects and Research Directions


Sub
-
project
1
: Design, development, and
implementation of SR motor.


Sub
-
project
2
: Design, development, and
implementation of SR motor drive.


Sub
-
project
3
: Design, development, and
implementation of PMS motor drive, using

SV
-
PWM, and FPGA technologies, for an
industrial robot controller.


Sub
-
project
4
: Design and development of
Emotional controller for SR motor.

August 25, 2004

4

Sub
-
projects and Research Directions


Sub
-
project
5
: Design and development of
Predictive controller for SR motor.


Sub
-
project
6
: Fault diagnosis in induction motors
using intelligent methods.


Sub
-
project
7
: Detection an suppression of audible
noise in electrical motors using the idea of
biological immune systems


Sub
-
project
8
: Implementation of classical and
intelligent controllers on DSP and microcontroller
based systems

August 25, 2004

5

Main Achievements & Contributions


A complete SR motor drive system including
motor, driver, and controller is designed,
developed and implemented. (In cooperation with
Motogen Co.)


A PSM motor drive system including driver and
PC
-
based controller is designed, developed and
implemented, as a part of an industrial six degree
of freedom robot controller project.


Numerous journal and conference publications,
describing or developed methods, algorithms, and
applications in the general area of motor droves.

August 25, 2004

6

Publications


Number of Journals Publications:


6
published, ISI


3
published, non
-
ISI and national


2
submitted



Number of Conferences Publications:


14
international conferences


17
national conferences

August 25, 2004

7

Selected Publications


J.E. B. Mirzaeian, M. Moallem, V. Tahani, and C. Lucas,

“Multiobjective
Optimization Method Based on a Genetic Algorithm for Switched
Reluctance Motor Design”.

IEEE Transaction on Magnetics

38
(
2
), March
2002
,
1
-

4
.



J.E.
C. Lucas, D. Shahmirzadi, H. Ghafoorifard, “Eliminating Stator
Oscillations through Pin Placement”.
Journal of Engineering Simulation

3
(
1
)
,

March
2002
,
3
-

7
.



J.E.
M. Nourani, A. Attarha, and C. Lucas, “Application of Fuzzy Logic in
Resistive Fault Modeling and Simulation”.
IEEE Transaction on Fuzzy
Systems

10
(
4
), August
2002
,
461
-

472
.


C. Lucas, D. Shahmirzadi, M. Nikkhah Bahrami, and M. H. Gaforifard, “A
FEM based quasi
-
static neuro model for acoustic noise in switch reluctance
motors, to appear in
Int’l J. of Computational Acoustics
,
2003
.


M. R. Rafimanzelat and B. N. Araabi, “Induction Machine Broken Bar
Detection Using Rough Sets Based Classification,”
Lecture Notes in
Artificial Intelligence
, vol.
3070
, pp.
532
-
537
, Springer Verlag,
2004
.

August 25, 2004

8

People in the R&D Group


Faculty Members


Dr. Babak N. Araabi


Prof. Caro Lucas


Dr. Majid Nili Ahmadabadi


Students (Current)


Mohsen Farshad


Arash Sadeghzadeh


Mohammad Reza Rafimanzelat


Mahmoud Hatami


Ali Eskandari

August 25, 2004

9

Test
-
beds and Approaches


Test
-
beds


SR motor drive test
-
bed (UT, ECE, Control Lab.)


PMS motor drive test
-
bed (UT, ECE, Robotics Lab.)


Approaches


Emotional control


Predictive control


Neuro
-
fuzzy modeling and control


Pattern recognition techniques for fault diagnosis

August 25, 2004

10

Future Projects and Directions


Increase our international cooperation through
joint R&D projects with other international center
of excellences.


Increase our cooperation with industries through
mutual R&D projects.


Optimize our designed and developed SR and
PMS drive systems and examine our previously
proposed intelligent motor control algorithms on
developed test
-
beds.


Adding linear motor drives to our research agenda.