Centralized vs decentralized adaptive generalized predictive control of a biodiesel reactor

Yong Kuen Ho, Farouq S. Mjalli, Hak Koon Yeoh

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A second look at biodiesel reactor control using Recursive Least Squares (RLS)-based adaptive Generalized Predictive Control (GPC) strategy revealed the possibility of a simpler alternative to the previously published centralized RLS-based GPC controller (CRLS-GPC). New results show that the simpler decentralized RLS-based GPC controller (DRLS-GPC) was on par with the more sophisticated centralized version in terms of servo and regulatory control, process interactions handling, and the resultant controller moves. Moreover, the simplified control scheme remained superior to the conventional Proportional-Integral controller. Such attributes make the DRLS-GPC an attractive compromise between complexity and performance.

Original languageEnglish
Pages (from-to)137-143
Number of pages7
JournalAsia-Pacific Journal of Chemical Engineering
Volume8
Issue number1
DOIs
Publication statusPublished - 2013

Fingerprint

Biofuels
Biodiesel
Controllers
regulatory control
attribute
reactor

Keywords

  • adaptive predictive control
  • biodiesel
  • generalized predictive control
  • recursive least squares
  • transesterification

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Renewable Energy, Sustainability and the Environment
  • Waste Management and Disposal

Cite this

Centralized vs decentralized adaptive generalized predictive control of a biodiesel reactor. / Ho, Yong Kuen; Mjalli, Farouq S.; Yeoh, Hak Koon.

In: Asia-Pacific Journal of Chemical Engineering, Vol. 8, No. 1, 2013, p. 137-143.

Research output: Contribution to journalArticle

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