YuMing Zhang
Professor and James R. Boyd
Professor
Department of Electrical and Computer Engineering
University of Kentucky
Dr. Zhang is a Professor in
the Department of Electrical and Computer Engineering. He holds the James R.
Boyd Professorship in Electrical Engineering and directs the Welding Research
Laboratory and the Applied Sensing and Control Laboratory. He received his
Ph.D. degree in Mechanical Engineering/Welding Major (Advisors: Professor Lin
Wu and Professor DingHua Chen), and M.S. (Advisor:
Professor GuangYu Wu) and B.S. (Advisor: Professor GuangYu Wu) degrees in Electrical Engineering/Control Major
from the Harbin Institute of Technology,
Harbin, China. Dr. Zhang is a Fellow of the AWS, a senior member of the IEEE
and the SME, and a member of the ASME. He received The Donald Julius Groen Prize from The Institution of Mechanical Engineers,
United Kingdom; The A. F. Davis Silver Medal award (twice) and the Adams
Memorial Membership Award from the American Welding Society (AWS); and the 15th
IFAC Triennial World Congress Poster Paper Prize and Application Paper
Honorable Mention from the International Federation of Automatic Control
(IFAC).
EE 307 Circuit
Analysis with Applications Spring 2000
EE 422G Signals
& Systems II Summer 2000, Fall 2000, Spring 2001, Summer 2001, Fall
2001, Spring 2002, Fall 2002, Spring 2003, Summer 2003, Fall 2003, Spring 2004,
Fall 2004
EE
499 EE Design: Control System Design Fall 2001
EE 611
Deterministic Systems Fall 1999, Fall 2002, Fall 2003, Fall 2004, Fall
2005, Fall 2006, Fall 2007, Fall 2010
EE613 Optimal Control Fall 2008
EE
614 Adaptive Control Fall 2000 (as EE 699), Spring 2002 (as EE 699), Fall
2007, Fall 2010
EE
599 Applied Control Spring 2001
EE/MFS/ME/MSE
699 Joining Processes Spring 2003, Spring 2004, Fall 2007, Spring 2010
EE
699 Nonlinear Control Systems Fall 2006
EE
699 Adaptive Neurofuzzy Control Fall 1998
Dr. Zhang's research is
devoted to system identification, adaptive and predictive control, neurofuzzy modeling and control, machine vision systems,
and various sensors with applications to welding/manufacturing automation,
especially to the development of innovative electrical arc welding processes
with improved productivity/controllability. In addition to his numerous publications, he
has been awarded five U.S. patents
for his inventions on sensors, control methods, and processes for electrical
arc welding. Dr. Zhang's research has been supported by government agencies and
industrial sponsors.
Current NSF Research:
Y.M
Zhang, R.G. Yang. “Machine-human cooperative control of
welding process,” October 2009-Spet. 2012.
Y.M.
Zhang. “Control of metal transfer at given arc variables,” October 2008-Spet.
2011.
Y.
M. Zhang. “Measurement and control of dynamic weld pool
surface in gas metal arc welding,” October 2007-Spet. 2010.
Prior NSF Research:
Y.
M. Zhang. “Sensors: Measurement
of dynamic weld pool surface,” October 2005-September 2008.
Y.
M. Zhang. “Double-electrode gas metal arc welding,” April
2004-March 2007.
Y.
M. Zhang. “Control of gas tungsten arc weld pool surface,” October 2001-Sept.
2005.
Y.
M. Zhang. “Double-sided arc welding,” October 1998 – Sept.
2002.
A. T. Male and Y. M. Zhang, “Weld penetration control based on
vision feedback of weld pool geometrical appearance,” April 1997 - September
1999.
Applied research aims at
development of cutting-edge process, sensing, and control technologies to
provide next generation equipment and methods to improve/enhance weld
quality/productivity as well as to reduce energy use and fume/spatter
production during welding.
- List of PhD Degrees
Ming Jiang. Double-sided Arc Welding Process.
Department of Mechanical Engineering, University of Kentucky, August 2003.
(Co-Advisors: Alan T. Male and YuMing Zhang)
Joseph Michael Istre. Robust Generic Model Control for Parameter
Interval Systems Department of Electrical and Computer Engineering, University
of Kentucky, June 2004.
Yuchi Lu. Control of Dynamic Keyhole
Welding Process. Department of Electrical and Computer Engineering,
University of Kentucky, September 2004.
Wei Lu. Robust Sensing and
control of Weld Pool Surface in Gas Tungsten Arc Welding and Its Modifications.
Department of Electrical and Computer Engineering, University of Kentucky, October
2004.
Breton Elsworth Losch.
Modeling and Control of Double Sided Arc Welding Process.
Department of Electrical and Computer Engineering, University of Kentucky, June
2005.
Gohar Mahmood Saeed. Three Dimensional Measurement of Specular Surfaces
and Its Application in Welding Process.
Department of Electrical and Computer Engineering, University of
Kentucky, Nov. 9, 2005.
Ge Wang. Numerical
Analysis of Metal Transfer in Gas Metal Arc Welding. Department of
Mechanical Engineering, University of Kentucky, June 4, 2007. (Co-Advisors:
George Huang and YuMing Zhang)
Zhenzhou Wang. Automated
High-Speed Monitoring of Metal Transfer for Real-Time Control.
Department of Electrical and Computer Engineering, University of Kentucky, June
12, 2007.
Hongsheng Song. Machine Vision Recognition of
Three-Dimensional Specular Surface for Gas Tungsten
Arc Weld Pool. Department of Electrical and Computer Engineering,
University of Kentucky, July 24, 2007.
Kehai Li. Double-Electrode Gas Metal
Arc Welding: Process, Modeling and Control. Department of Electrical and
Computer Engineering, University of Kentucky, Sept. 21, 2007.
Xiaodong Na. Nonlinear Identification and Control: A Practical Solution
and Its Application. Department of Electrical and Computer Engineering,
University of Kentucky, Dec. 12, 2007. (co-advisors:
Bruce Walcott and YuMing Zhang)
Xiaopei Liu. Dual
Bypass Gas Metal Arc Welding Process and Control. Department of
Electrical and Computer Engineering, University of Kentucky October 17, 2008.
Xiangrong Li. Model Predictive Control over Manual
Pipe Welding Process on Stainless Steel. Department of Electrical and
Computer Engineering, University of Kentucky April 2010. (co-advisors:
YuMing Zhang and Larry Holloway)
Zhijiang Wang. Adaptive Interval Model Control for
Depth of Weld Penetration in Pulsed Gas Metal Arc Welding. Department of Welding Engineering, Harbin Institute of Technology,
June 2010. (co-advisors: YuMing Zhang, Lin Wu)
Kun Qian. Real-time Model Predictive Control of
Quasi-keyhole Pipe Welding. Department of Electrical and Computer
Engineering, University of Kentucky, July 2010.
- Current Students Deliverable
Schedule