Design, Control and Fault Diagnosis of Industrial Drives

1
Design, Control and Fault Diagnosis of Industrial
Drives
Control and Intelligent Processing Center of
Excellence

• Department of Electrical and Computer
  Engineering
• University of Tehran

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

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.

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

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.

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

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 Intl 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.

8
People in the RD 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

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

10
Future Projects and Directions

• Increase our international cooperation through
  joint RD projects with other international
  center of excellences.
• Increase our cooperation with industries through
  mutual RD 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.