eprintid: 6046
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/60/46
datestamp: 2023-11-09 16:17:47
lastmod: 2023-11-09 16:17:47
status_changed: 2023-11-09 16:04:41
type: conference_item
metadata_visibility: show
creators_name: Nguyen, T.H.
creators_name: Ismail, I.
creators_name: Saad, N.B.
creators_name: Faisal, A.
creators_name: Irfan, M.
title: A practical approach of control of real time nonlinear process plant using Multiple Model Predictive Control
ispublished: pub
keywords: Identification (control systems); Pilot plants; Predictive control systems; State space methods, Bumpless transfer; Dynamic characteristics; Local state space; Manipulated variables; Multiple MPC; Multiple-modeling; Nonlinear; Nonlinear process, Model predictive control
note: cited By 3; Conference of 6th International Conference on Modelling, Identification and Control, ICMIC 2014 ; Conference Date: 3 December 2014 Through 5 December 2014; Conference Code:110290
abstract: This paper presents a practical approach of Multiple Model Predictive Control (MMPC) to deal with the nonlinearity of a process plant. The regulation of the nonlinear system over a wide range of operation is handled by a number of linear local MPCs, each is designed based on a local State Space model which describes the dynamic characteristics of the system in a certain level of operation. At each certain time of operation, only one local MPC is active while others are in standby mode and switching among the local MPCs is taken place when the system changes its working condition. In order to produce a 'bumpless transfer' during the switching, a Feedback of External Manipulated Variable (FEMV) is provided to the all local MPC controllers. The proposed method is applied to real time Gaseous Pilot Plant and results from the test show that the proposed MMPC improves the performance of nonlinear control system. © 2014 Swinburne University of Technology, Australia.
date: 2015
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923467746&doi=10.1109%2fICMIC.2014.7020728&partnerID=40&md5=70ee88fee21efd6b26ca94ebe7e09120
id_number: 10.1109/ICMIC.2014.7020728
full_text_status: none
publication: Proceedings of 2014 International Conference on Modelling, Identification and Control, ICMIC 2014
pagerange: 59-64
refereed: TRUE
isbn: 9780956715746
citation:   Nguyen, T.H. and Ismail, I. and Saad, N.B. and Faisal, A. and Irfan, M.  (2015) A practical approach of control of real time nonlinear process plant using Multiple Model Predictive Control.  In: UNSPECIFIED.