Model Predictive Control for Tracking

Model predictive control (MPC) is a successful technique which enables to deliver the desired goals specified for the controlled process. Having the prediction ability, when combined with traditional feedback operation, it enables to make adjustments that are stable and closer to the optimal of s...

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Main Author: Rajasegaan, Sarasuwathi
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.17843 /
Published: IRC 2016
Subjects:
TP Chemical technology
Online Access: http://utpedia.utp.edu.my/17843/1/SARASUWATHI_16079.pdf
http://utpedia.utp.edu.my/17843/
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spelling utp-utpedia.178432017-11-23T09:48:07Z http://utpedia.utp.edu.my/17843/ Model Predictive Control for Tracking Rajasegaan, Sarasuwathi TP Chemical technology Model predictive control (MPC) is a successful technique which enables to deliver the desired goals specified for the controlled process. Having the prediction ability, when combined with traditional feedback operation, it enables to make adjustments that are stable and closer to the optimal of set-points. MPC controller often employs cost functions with varying economic conditions. One to frequent changes in the economics of the plant, the optimal steady states continuously changes. Funct ion of MPC is to compute a sequence of control moves so that the predicted system response moves as close to the set point by reducing the error. The objective of this project is to analyze the response and the effect of tuning parameters on the control system performance of tracking MPC controllers. The results of this project show the effect of tuning parameters on the control system as well as the tracking ability for different scenarios IRC 2016-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/17843/1/SARASUWATHI_16079.pdf Rajasegaan, Sarasuwathi (2016) Model Predictive Control for Tracking. IRC, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Rajasegaan, Sarasuwathi
Model Predictive Control for Tracking
description Model predictive control (MPC) is a successful technique which enables to deliver the desired goals specified for the controlled process. Having the prediction ability, when combined with traditional feedback operation, it enables to make adjustments that are stable and closer to the optimal of set-points. MPC controller often employs cost functions with varying economic conditions. One to frequent changes in the economics of the plant, the optimal steady states continuously changes. Funct ion of MPC is to compute a sequence of control moves so that the predicted system response moves as close to the set point by reducing the error. The objective of this project is to analyze the response and the effect of tuning parameters on the control system performance of tracking MPC controllers. The results of this project show the effect of tuning parameters on the control system as well as the tracking ability for different scenarios
format Final Year Project
author Rajasegaan, Sarasuwathi
author_sort Rajasegaan, Sarasuwathi
title Model Predictive Control for Tracking
title_short Model Predictive Control for Tracking
title_full Model Predictive Control for Tracking
title_fullStr Model Predictive Control for Tracking
title_full_unstemmed Model Predictive Control for Tracking
title_sort model predictive control for tracking
publisher IRC
publishDate 2016
url http://utpedia.utp.edu.my/17843/1/SARASUWATHI_16079.pdf
http://utpedia.utp.edu.my/17843/
_version_ 1741195256314986496
score 11.62408

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