Process Systems Engineering

 

The current research areas of emphasis in the process systems engineering area are:

 

           Control System Monitoring and Diagnosis:  multivariable control performance assessment, performance diagnosis, minimum variance control benchmark, MPC performance monitoring, fault detection, data reconciliation, sensor validation

 

           Dynamic Modeling of Chemical Processes:  microelectronics process modeling, packed bed distillation, reactive distillation, flare combustion, blood glucose (for diabetics), packed bed catalytic reactors, parameter estimation software development, model reduction

 

           Materials Processing:  chemical vapor deposition, measurement of film composition and growth rate, plasma etching, lithography, rapid thermal processing

 

           Dynamic System Identification:  subspace identification methods, prediction error methods, closed loop identification, design of experiments.

 

           Nonlinear Model Predictive Control and Moving Horizon Estimation:  large-scale models, model-based control, constrained control, adaptive control, multivariable control.

 

The combined process modeling, control and optimization programs have 20 full-time graduate students and several postdoctoral researchers supervising the ongoing research.  Approximately 75 percent of the graduate students are U.S. citizens.

 

Process control facilities available for research include Emerson Delta V and National Instruments control systems in experimental studies, and we also have numerous networks of PCs and high-performance Linux clusters.  Most students carry out both theoretical and experimental research.  Our program focuses on maintaining a balance between fundamentals and practice.

 

The Texas-Wisconsin Modeling and Control Consortium (TWMCC) carries out joint industrial-academic research in the areas of chemical process modeling, monitoring, control and optimization; see www.che.utexas.edu/twmcc.  The TWMCC was established in 1993 in the Department of Chemical Engineering at The University of Texas.  The consortium expanded its activities in 1995 to include the University of Wisconsin.  Currently 14 companies support research work in TWMCC.

 

Faculty

 

Thomas F. Edgar

S. J. Qin