Real-time implementation of model predictive control for flow control application

This paper presents real-time implementation of model predictive control (MPC) of flow process application. The poor performance of classical approach occur when the control system does not provide optimal control process behavior in presence of non-linearities. Therefore MPC is highlighted as advan...

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Main Authors: Rosli, N.S., Ibrahim, R.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.32138 /
Published: IEEE Computer Society 2014
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906337164&doi=10.1109%2fICIAS.2014.6869481&partnerID=40&md5=8299e6bdfbcd3d8b8166f378992b2150
http://eprints.utp.edu.my/32138/
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recordtype eprints
spelling utp-eprints.321382022-03-29T04:59:48Z Real-time implementation of model predictive control for flow control application Rosli, N.S. Ibrahim, R. This paper presents real-time implementation of model predictive control (MPC) of flow process application. The poor performance of classical approach occur when the control system does not provide optimal control process behavior in presence of non-linearities. Therefore MPC is highlighted as advanced process control for dynamic model system. A control algorithm is focused on developing MPC using MATLAB/Simulink Toolboxes. The algorithm is applied to a pilot plant to see the performance of the controller which the plant is interfaced to MATLAB/Simulink environment via DAQ data acquisition card. The performance of MPC is compared with classical PID controller based on step response and their robustness in presence of disturbance. © 2014 IEEE. IEEE Computer Society 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906337164&doi=10.1109%2fICIAS.2014.6869481&partnerID=40&md5=8299e6bdfbcd3d8b8166f378992b2150 Rosli, N.S. and Ibrahim, R. (2014) Real-time implementation of model predictive control for flow control application. In: UNSPECIFIED. http://eprints.utp.edu.my/32138/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description This paper presents real-time implementation of model predictive control (MPC) of flow process application. The poor performance of classical approach occur when the control system does not provide optimal control process behavior in presence of non-linearities. Therefore MPC is highlighted as advanced process control for dynamic model system. A control algorithm is focused on developing MPC using MATLAB/Simulink Toolboxes. The algorithm is applied to a pilot plant to see the performance of the controller which the plant is interfaced to MATLAB/Simulink environment via DAQ data acquisition card. The performance of MPC is compared with classical PID controller based on step response and their robustness in presence of disturbance. © 2014 IEEE.
format Conference or Workshop Item
author Rosli, N.S.
Ibrahim, R.
spellingShingle Rosli, N.S.
Ibrahim, R.
Real-time implementation of model predictive control for flow control application
author_sort Rosli, N.S.
title Real-time implementation of model predictive control for flow control application
title_short Real-time implementation of model predictive control for flow control application
title_full Real-time implementation of model predictive control for flow control application
title_fullStr Real-time implementation of model predictive control for flow control application
title_full_unstemmed Real-time implementation of model predictive control for flow control application
title_sort real-time implementation of model predictive control for flow control application
publisher IEEE Computer Society
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906337164&doi=10.1109%2fICIAS.2014.6869481&partnerID=40&md5=8299e6bdfbcd3d8b8166f378992b2150
http://eprints.utp.edu.my/32138/
_version_ 1741197691780595712
score 11.62408

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