Contact Information: 3003 ERF Phone: (312) 996-9611 Fax: (312) 413-0447 E-mail: SCetin@uic.edu mrc@uic.edu Laboratory: 1076 ERF Phone: (312) 413-7410

S. Cetinkunt
Professor

Director of Manufacturing Research Center

Director of Mechatronics Lab

B.S., Aerospace Engineering (1982)
Technical University of Istanbul

M.S., Mechanical Engineering (1984)
Georgia Institute of Technology

Ph.D., Mechanical Engineering (1987)
Georgia Institute of Technology

• Fellow of ASME, 2005
• Faculty Research Award, College of Engineering, UIC, Academic Year 2000-01
• NSF/ASA/NIST Senior Research Fellow, 1991, 1992
• Silver Circle Award Finalist for Excellence in Teaching, University of Illinois at Chicago, 1991
• U.S. Patent 7,201,096 B2, April 10, 2007
• U.S. Patent 6,917,867 B2, July 12, 2005
• U.S. Patent 6,459,976, October 1, 2002
• U.S. Patent 6,371,214 B1, April 16, 2002
• U.S. Patent 6,330,502 B1, December 11, 2001
• GE Fellowship in Graduate Studies, 1986

Selected Publications

Cetinkunt, S., Mechatronics, John Wiley and Sons Inc.

Abdelhameed, M. M., Pinsopon, U., Cetinkunt, S., "Adaptive Learning Algorithm For Cerebellar Model Articulation Controller", International Journal of Mechatronics, Vol. 12, pp. 859-873, 2002.

Zhang, Q., Cetinkunt, S., Hwang, T., Pinsopon, U., Cobo, M, Ingram, R., "Use of Adaptive Control Algorithms For Automatic Calibration of Electrohydraulic Actuator Control", Journal of Applied Engineering in Agriculture, Vol. 17, No. 3, pp. 259-265, 2001.

Gogotsi, Y., Zhou, G., Ku, S.S., Cetinkunt, S., "Raman Microspectroscopy Analysis of Pressure-Induced Metallization in Scratching of Silicon", Journal of Semiconductor Science and Technology, Vol. 16, pp. 1-8, 2000.

Ku, S.S., Pinsopon, U., Cetinkunt, S., Nakajima, S.I., "Design, Fabrication, and Real-Time Neural Network Control of a Three-Degrees-of-Freedom Nanopositioner" , IEEE/ASME Transactions on Mechatronics, Vol. 5, No. 3, pp. 273-280, 2000.

Pinsopon, U., Hwang, T., Cetinkunt, S., Ingram, R, Zhang, Q, Cobo, M, Koehler, D, Ottman, R. "Hydraulic Actuator Control with Open Center EH Valve Using CMAC Neural Network Algorithm", Proc. Of Inst. Of Mech Eng., Vol. 213, Part I, pp. 33-48, 1999.

Pinsopon, U., Nakajima, S., Cetinkunt, S., "Design, Fabrication and Real-time Neural Network Control of a Piezo-electric Actuated Toolpost", International Journal of Intelligent Control and Systems, Vol. 2, No. 1, pp. 59-72, 1998.

Cobo, M, Ingram, R, Cetinkunt S., "Modeling, Identification, and Real-time Closed Loop Control of Bucket Hydraulic System for a WTL Earth Moving Equipment", International Journal of Mechatronics, Vol. 8, pp. 863-885, 1998.

Ku, S.S., Larsen, G., Cetinkunt, S., "Fast Tool Servo Control for Ultra-Precision Machining at Extremely Low Feed Rates", International Journal of Mechatronics, Vol 8, pp. 381-393, 1998.

Larsen, G., Cetinkunt, S., "Low Speed Motion Control Experiments on a Single Point Diamond Turning Machine Using CMAC Learning Control Algorithm", ASME Journal of Dynamic Systems, Measurement, and Control, Vol 119, pp. 775-781, Dec. 1997.

Mou, J.I., Donmez, A., Cetinkunt, S. " An Adaptive Error Correction Method Using Feature-Based Analysis Techniques of Machine Performance Improvement: Part I - Theory Derivaiton", ASME Journal of Engineering for Industry, Vol. 117, pp. 584-590, Nov. 1995.

Research Interests

Mechatronics, Control Systems, Automation and Robotics, Instrumentation, CAD/CAM, Manufacturing, Robust Control, Intelligent Control, Neural Networks, Expert Systems, Fuzzy Logic, AI, Servo Motion Control Systems, Electro Hydraulic Control, Precision Motion Control, Nano Positioning Devices, Process Control, Programmable Logic Controllers (PLC), Microprocessor Applications.

Laboratory The research in the Mechatronics Laboratory is focused on various aspects of motion control of mechanical systems including, DC servo motor control, ultra precision motion control using novel piezoelectric actuators designed in our lab, electro-hydraulic servo control with earth moving equipment applications, adaptive self learning real time control algorithms. All of the motion control research is conducted using PC-bus based open architecture computer environment.