By Topic

Model Predictive Control of Distillation Column Based Recursive Parameter Estimation Method Using HYSYS Simulation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Komari Alaei, H. ; Dept. of Autom. & Instrum., Pet. Univ. of Technol. (PUT), Ahvaz, Iran ; Salahshoor, K. ; Komari Alaei, H.

Some chemical plants such as distillation column have highly nonlinear behavior. These processes demand a powerful identification method such as linear and nonlinear models. In this paper, a distillation column is simulated in a rather realistic environment by HYSYS and the obtained data is in connection with MATLAB for identification and control purpose. In this case, the identified model is characterized by two structures, Linear model structure based on ARX (Autoregressive with external input) and nonlinear model structure based on neural network. For control goals, two linear and nonlinear model predictive controllers are applied. General predict control (GPC) and nonlinear predict control (NPC) are compared based adaptive identification of model. Since, practical systems change with time and the parameters of system are time varying, using real-time identification based recursive parameter estimation is necessary, although, desired control strategy is reached with a good parameter estimation. The algorithm has been tested on an distillation column. The resulting performances show the successful and promising capabilities of the proposed algorithm.

Published in:

Intelligent Computing and Cognitive Informatics (ICICCI), 2010 International Conference on

Date of Conference:

22-23 June 2010