1. 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

2. 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. 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.

4. 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

5. 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.

6. 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

7. 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.

8. 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

9. 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

10. 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.