eprintid: 10081044
rev_number: 17
eprint_status: archive
userid: 608
dir: disk0/10/08/10/44
datestamp: 2019-09-06 10:04:19
lastmod: 2020-08-28 06:10:20
status_changed: 2019-09-06 10:04:19
type: article
metadata_visibility: show
creators_name: Zhang, S
creators_name: Zhao, D
creators_name: Spurgeon, SK
title: Robust distributed model predictive control for systems of parallel structure within process networks
ispublished: pub
divisions: UCL
divisions: A01
divisions: B04
divisions: C05
divisions: F46
keywords: Parallel system, Competitive coupling, Competitive constraint, Robust distributed model predictive control, Linear matrix inequality
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: The parallel structure is one of the basic system architectures found in process networks. In order to achieve robust control of complex process networks, it is necessary to formulate control strategies that specifically accommodate the characteristics of such parallel systems. In this paper, the competitive coupling and competitive constraints in parallel systems are initially defined. A novel robust distributed model predictive control algorithm is then developed for such parallel systems which deals explicitly with competitive couplings, competitive constraints and uncertainties. The Lyapunov Method is used for the theoretical analysis which produces tractable linear matrix inequalities (LMI). Two simulation studies and an experimental trial are provided to validate the effectiveness of the proposed approach. These consider control of 40 user and 100 user gas boiler heating systems as well as control of two continuous stirred tank reactors (CSTRs) which are connected in parallel.
date: 2019
date_type: published
official_url: https://doi.org/10.1016/j.jprocont.2019.06.005
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1686141
doi: 10.1016/j.jprocont.2019.06.005
lyricists_name: Spurgeon, Sarah
lyricists_id: SSPUR40
actors_name: Spurgeon, Sarah
actors_id: SSPUR40
actors_role: owner
full_text_status: public
publication: Journal of Process Control
volume: 82
pagerange: 70-90
issn: 0959-1524
citation:        Zhang, S;    Zhao, D;    Spurgeon, SK;      (2019)    Robust distributed model predictive control for systems of parallel structure within process networks.                   Journal of Process Control , 82    pp. 70-90.    10.1016/j.jprocont.2019.06.005 <https://doi.org/10.1016/j.jprocont.2019.06.005>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10081044/1/RDMPCofPS_R2.pdf