A Flexible Pilot-Scale Setup for Real-Time Studies in Process Systems Engineering


  • Chanin Panjapornpon Drexel University
  • Nathan Fletcher Drexel University
  • Masoud Soroush


This manuscript describes a flexible, pilot-scale setup that can be used for training students and carrying out research in process systems engineering. The setup allows one to study a variety of process systems engineering concepts such as design feasibility, design flexibility, control configuration selection, parameter estimation, process and instrument fault detection and identification, controller design and implementation, instrument calibration, and process modeling.

Author Biographies

Chanin Panjapornpon, Drexel University

Chanin Panjapornpon is currently a Ph. D. candidate in the Depanment of Chemical and Biological Engineering at Drexel University He received his B.Sc. from Chulalongkorn University, Thailand, in 1995 and his MS. from Drexel University in 2002. His industrial experience includes five years with a petrochemical company in Thailand, and his research interests are in the areas of nonlinear model-based control, optimization, computer control, and controller-design software.

Nathan Fletcher, Drexel University

Nathan W. Fletcher received his B.S. in chemical engineering from Drexel University in 1999. He was with Automation Application Inc., in Exton, Pa., from 1999 to 2004. He implemented OCS, PLC, and hybrid systems for the specialty chemical, oil and gas, pulp and paper, and food industries. In mid-2004, he joined Fluor Life Sciences in Media, Pa. His professional interests are in instrumentation and control.

Masoud Soroush

Masoud Soroush received a B.S. (chemical engineering, 1985) from Abadan Institute of Technology, Iran, and two MS. (chemical engineering, 1988, and electrical engineering: systems, 1991) and a Ph.D. (chemical engineering, 1992) from the University of Michigan. He is now a professor of chemical and biochemical engineering at Drexel University, and has worked as a visiting scientist at DuPont Marshall Lab, Philadelphia. His current research interests are in nonlinear mode/based control, high-temperature polymerization, nonlinear state and parameter estimation, fault detection and identification, and fuel-cell modeling, optimization, and control.