skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: A comparison of advanced distillation control techniques for a propylene/propane splitter

Abstract

A detailed dynamic simulator of a propylene/propane (C{sub 3}) splitter, which was bench-marked against industrial data, has been used to compare dual composition control performance for a diagonal PI controller and several advanced controllers. The advanced controllers considered are DMC, nonlinear process model based control, and artificial neural networks. Each controller was tuned based upon setpoint changes in the overhead production composition using 50% changes in the impurity levels. Overall, there was not a great deal of difference in controller performance based upon the setpoint and disturbance tests. Periodic step changes in feed composition were also used to compare controller performance. In this case, oscillatory variations of the product composition were observed and the variabilities of the DMC and nonlinear process model based controllers were substantially smaller than that of the PI controller. The sensitivity of each controller to the frequency of the periodic step changes in feed composition was also investigated.

Authors:
; ;  [1]
  1. Texas Tech Univ., Lubbock, TX (United States). Dept. of Chemical Engineering
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
183096
Resource Type:
Journal Article
Journal Name:
Industrial and Engineering Chemistry Research
Additional Journal Information:
Journal Volume: 34; Journal Issue: 12; Other Information: PBD: Dec 1995
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 02 PETROLEUM; DISTILLATION EQUIPMENT; PROCESS CONTROL; PROPYLENE; DISTILLATION; PROPANE; SIMULATORS; CONTROL EQUIPMENT; COMPUTERIZED SIMULATION; ENERGY CONSUMPTION; INDUSTRIAL PLANTS

Citation Formats

Gokhale, V, Hurowitz, S, and Riggs, J B. A comparison of advanced distillation control techniques for a propylene/propane splitter. United States: N. p., 1995. Web. doi:10.1021/ie00039a033.
Gokhale, V, Hurowitz, S, & Riggs, J B. A comparison of advanced distillation control techniques for a propylene/propane splitter. United States. https://doi.org/10.1021/ie00039a033
Gokhale, V, Hurowitz, S, and Riggs, J B. 1995. "A comparison of advanced distillation control techniques for a propylene/propane splitter". United States. https://doi.org/10.1021/ie00039a033.
@article{osti_183096,
title = {A comparison of advanced distillation control techniques for a propylene/propane splitter},
author = {Gokhale, V and Hurowitz, S and Riggs, J B},
abstractNote = {A detailed dynamic simulator of a propylene/propane (C{sub 3}) splitter, which was bench-marked against industrial data, has been used to compare dual composition control performance for a diagonal PI controller and several advanced controllers. The advanced controllers considered are DMC, nonlinear process model based control, and artificial neural networks. Each controller was tuned based upon setpoint changes in the overhead production composition using 50% changes in the impurity levels. Overall, there was not a great deal of difference in controller performance based upon the setpoint and disturbance tests. Periodic step changes in feed composition were also used to compare controller performance. In this case, oscillatory variations of the product composition were observed and the variabilities of the DMC and nonlinear process model based controllers were substantially smaller than that of the PI controller. The sensitivity of each controller to the frequency of the periodic step changes in feed composition was also investigated.},
doi = {10.1021/ie00039a033},
url = {https://www.osti.gov/biblio/183096}, journal = {Industrial and Engineering Chemistry Research},
number = 12,
volume = 34,
place = {United States},
year = {Fri Dec 01 00:00:00 EST 1995},
month = {Fri Dec 01 00:00:00 EST 1995}
}