A Heuristic Approach for Tuning Model Predictive Controller

This paper presents the results of a heuristic approach for tuning an embedded model predictive control (MPC) in real-time conditions. A gaseous pilot plant, a kind of interacting series processes, is used as the controlled process. Process modeling in this MPC uses gray-box approach, where two mult...

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Main Author: Saad , Nordin
Format: Article
Language:English
English
Published: FKEUTM 2009
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/911/
http://scholars.utp.edu.my/id/eprint/911/1/ELEKTRIKA-paper2june09.pdf
http://scholars.utp.edu.my/id/eprint/911/2/ELEKTRIKA-paper2june09.pdf
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author Saad , Nordin
author_facet Saad , Nordin
author_sort Saad , Nordin
building UTP Institutional Repository
collection Online Access
description This paper presents the results of a heuristic approach for tuning an embedded model predictive control (MPC) in real-time conditions. A gaseous pilot plant, a kind of interacting series processes, is used as the controlled process. Process modeling in this MPC uses gray-box approach, where two multi-input single-output (MISO) models are combined into a multi-input multi-output (MIMO) model. A real-time embedded control system consisting the off-the-shelf components and software tools is implemented and analyzed experimentally. Four tuning parameters are investigated to illustrate the easy and intuitively understandable MPC tuning rules. The aim here is to deliver an intuitive MPC tuning implementation that necessary to be considered in practical applications.
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spelling oai:scholars.utp.edu.my:9112017-01-19T08:25:56Z http://scholars.utp.edu.my/id/eprint/911/ A Heuristic Approach for Tuning Model Predictive Controller Saad , Nordin TK Electrical engineering. Electronics Nuclear engineering This paper presents the results of a heuristic approach for tuning an embedded model predictive control (MPC) in real-time conditions. A gaseous pilot plant, a kind of interacting series processes, is used as the controlled process. Process modeling in this MPC uses gray-box approach, where two multi-input single-output (MISO) models are combined into a multi-input multi-output (MIMO) model. A real-time embedded control system consisting the off-the-shelf components and software tools is implemented and analyzed experimentally. Four tuning parameters are investigated to illustrate the easy and intuitively understandable MPC tuning rules. The aim here is to deliver an intuitive MPC tuning implementation that necessary to be considered in practical applications. FKEUTM 2009 Article PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/911/1/ELEKTRIKA-paper2june09.pdf application/pdf en http://scholars.utp.edu.my/id/eprint/911/2/ELEKTRIKA-paper2june09.pdf Saad , Nordin (2009) A Heuristic Approach for Tuning Model Predictive Controller. JURNAL ELEKTRIKA.
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Saad , Nordin
A Heuristic Approach for Tuning Model Predictive Controller
title A Heuristic Approach for Tuning Model Predictive Controller
title_full A Heuristic Approach for Tuning Model Predictive Controller
title_fullStr A Heuristic Approach for Tuning Model Predictive Controller
title_full_unstemmed A Heuristic Approach for Tuning Model Predictive Controller
title_short A Heuristic Approach for Tuning Model Predictive Controller
title_sort heuristic approach for tuning model predictive controller
topic TK Electrical engineering. Electronics Nuclear engineering
url http://scholars.utp.edu.my/id/eprint/911/
http://scholars.utp.edu.my/id/eprint/911/1/ELEKTRIKA-paper2june09.pdf
http://scholars.utp.edu.my/id/eprint/911/2/ELEKTRIKA-paper2june09.pdf