DocumentCode
325390
Title
Improved disturbance estimation for dynamic matrix control
Author
Lee, Kwangsoon ; Amirthalingam, Raja ; Yongho Lee ; Kwangsoon Lee
Author_Institution
Dept. of Chem. Eng., Auburn Univ., AL, USA
Volume
5
fYear
1998
fDate
21-26 Jun 1998
Firstpage
3158
Abstract
We propose a method to use historical data to improve disturbance estimation in dynamic matrix control. It is proposed to compute the Kalman gain matrix of a step response model directly from plant data through a spectral or state-space realization. The Kalman filter can in turn be used to obtain an optimal prediction equation. The efficacy of the method is tested using a simulated heavy oil fractionator
Keywords
Kalman filters; identification; matrix algebra; predictive control; state-space methods; step response; Kalman filter; Kalman gain matrix; disturbance estimation; dynamic matrix control; model predictive control; oil fractionator; state-space; step response; Chemical engineering; Data engineering; Equations; Feedback; Fractionation; Kalman filters; Petroleum; Predictive models; Stochastic processes; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1998. Proceedings of the 1998
Conference_Location
Philadelphia, PA
ISSN
0743-1619
Print_ISBN
0-7803-4530-4
Type
conf
DOI
10.1109/ACC.1998.688444
Filename
688444
Link To Document