Author/Authors :
R.H. Julien، نويسنده , , M.W. Foley and
W.R. Cluett، نويسنده ,
Title Of Article :
Performance assessment using a
model predictive control
benchmark
Latin Abstract :
Model predictive control (MPC) technology has been widely implemented throughout the petroleum, chemical, metallurgical and
pulp and paper industries over the past three decades. The focus of this paper is the assessment of single-input, single-output MPC
schemes against a new performance standard. The proposed MPC benchmark is shown to be useful both as a model diagnostic and
as a tuning guide during commissioning. A formal assessment procedure is presented which emphasizes the use of routine operating
data plus knowledge of the deadtime to determine when it becomes worthwhile to invest in re-identification of the plant dynamics
and re-installation of the MPC application.
NaturalLanguageKeyword :
Performance Assessment , Model predictive control , LQG , Controller diagnosis
JournalTitle :
Studia Iranica
