Model predictive control for the reactant concentration control of a reactor

The reactant concentration control of a reactor using Model Predictive Control (MPC) is presented in this paper. Two major difficulties in the control of reactant concentration are that the measurement of concentration is not available for the control point of view and it is not possible to control...

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Main Authors:	Kittisupakorn, P., Hussain, M.A.
Format:	Article
Published:	Korean Journal of Chemical Engineering 2000
Subjects:	TA Engineering (General). Civil engineering (General) TP Chemical technology
Online Access:	http://download.springer.com/static/pdf/482/art%253A10.1007%252FBF02699055.pdf?auth66=1363836305_64f8c78ce110898a9e81dafa8cf27fe3&ext=.pdf http://download.springer.com/static/pdf/482/art%253A10.1007%252FBF02699055.pdf?auth66=1363836305_64f8c78ce110898a9e81dafa8cf27fe3&ext=.pdf

id	um-7088
recordtype	eprints
spelling	um-70882014-10-20T06:08:48Z Model predictive control for the reactant concentration control of a reactor Kittisupakorn, P. Hussain, M.A. TA Engineering (General). Civil engineering (General) TP Chemical technology The reactant concentration control of a reactor using Model Predictive Control (MPC) is presented in this paper. Two major difficulties in the control of reactant concentration are that the measurement of concentration is not available for the control point of view and it is not possible to control the concentration without considering the reactor temperature. Therefore, MIMO control techniques and state and parameter estimation are needed. One of the MIMO control techniques widely studied recently is MPC. The basic concept of MPC is that it computes a control trajectory for a whole horizon time minimising a cost function of a plant subject to a dynamic plant model and an end point constraint. However, only the initial value of controls is then applied. Feedback is incorporated by using the measurements/estimates to reconstruct the calculation for the next time step. Since MPC is a model based controller, it requires the measurement of the states of an appropriate process model. However, in most industrial processes, the state variables are not all measurable. Therefore, an extended Kalman filter (EKF), one of estimation techniques, is also utilised to estimate unknown/uncertain parameters of the system. Simulation results have demonstrated that without the reactor temperature constraint, the MPC with EKF can control the reactant concentration at a desired set point but the reactor temperator is raised over a maximum allowable value. On the other hand, when the maximun allowable value is added as a constraint, the MPC with EKF can control the reactant concentration at the desired set point with less drastic control action and within the reactor temperature constraint. This shows that the MPC with EKF is applicable to control the reactant concentration of chemical reactors. Korean Journal of Chemical Engineering 2000 Article PeerReviewed http://download.springer.com/static/pdf/482/art%253A10.1007%252FBF02699055.pdf?auth66=1363836305_64f8c78ce110898a9e81dafa8cf27fe3&ext=.pdf Kittisupakorn, P.; Hussain, M.A. (2000) Model predictive control for the reactant concentration control of a reactor. Korean Journal of Chemical Engineering <http://eprints.um.edu.my/view/publication/Korean_Journal_of_Chemical_Engineering.html>, 17 (3). pp. 368-372. ISSN 0256-1115 http://eprints.um.edu.my/7088/
repository_type	Digital Repository
institution_category	Local University
institution	University Malaya
building	UM Research Repository
collection	Online Access
topic	TA Engineering (General). Civil engineering (General) TP Chemical technology
spellingShingle	TA Engineering (General). Civil engineering (General) TP Chemical technology Kittisupakorn, P. Hussain, M.A. Model predictive control for the reactant concentration control of a reactor
description	The reactant concentration control of a reactor using Model Predictive Control (MPC) is presented in this paper. Two major difficulties in the control of reactant concentration are that the measurement of concentration is not available for the control point of view and it is not possible to control the concentration without considering the reactor temperature. Therefore, MIMO control techniques and state and parameter estimation are needed. One of the MIMO control techniques widely studied recently is MPC. The basic concept of MPC is that it computes a control trajectory for a whole horizon time minimising a cost function of a plant subject to a dynamic plant model and an end point constraint. However, only the initial value of controls is then applied. Feedback is incorporated by using the measurements/estimates to reconstruct the calculation for the next time step. Since MPC is a model based controller, it requires the measurement of the states of an appropriate process model. However, in most industrial processes, the state variables are not all measurable. Therefore, an extended Kalman filter (EKF), one of estimation techniques, is also utilised to estimate unknown/uncertain parameters of the system. Simulation results have demonstrated that without the reactor temperature constraint, the MPC with EKF can control the reactant concentration at a desired set point but the reactor temperator is raised over a maximum allowable value. On the other hand, when the maximun allowable value is added as a constraint, the MPC with EKF can control the reactant concentration at the desired set point with less drastic control action and within the reactor temperature constraint. This shows that the MPC with EKF is applicable to control the reactant concentration of chemical reactors.
format	Article
author	Kittisupakorn, P. Hussain, M.A.
author_facet	Kittisupakorn, P. Hussain, M.A.
author_sort	Kittisupakorn, P.
title	Model predictive control for the reactant concentration control of a reactor
title_short	Model predictive control for the reactant concentration control of a reactor
title_full	Model predictive control for the reactant concentration control of a reactor
title_fullStr	Model predictive control for the reactant concentration control of a reactor
title_full_unstemmed	Model predictive control for the reactant concentration control of a reactor
title_sort	model predictive control for the reactant concentration control of a reactor
publisher	Korean Journal of Chemical Engineering
publishDate	2000
url	http://download.springer.com/static/pdf/482/art%253A10.1007%252FBF02699055.pdf?auth66=1363836305_64f8c78ce110898a9e81dafa8cf27fe3&ext=.pdf http://download.springer.com/static/pdf/482/art%253A10.1007%252FBF02699055.pdf?auth66=1363836305_64f8c78ce110898a9e81dafa8cf27fe3&ext=.pdf
first_indexed	2018-09-06T05:23:59Z
last_indexed	2018-09-06T05:23:59Z
_version_	1610834446411366400

Model predictive control for the reactant concentration control of a reactor

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