Experimental Application of Predictive Controllers
Joint Authors
Henrique, H. M.
Oliveira-Lopes, L. C.
Silva, C. H. F.
Source
Journal of Control Science and Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-02-19
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Model predictive control (MPC) has been used successfully in industry.
The basic characteristic of these algorithms is the formulation of an optimization problem in order to compute the sequence of control moves that minimize a performance function on the time horizon with the best information available at each instant, taking into account operation and plant model constraints.
The classical algorithms Infinite Horizon Model Predictive Control (IHMPC) and Model Predictive Control with Reference System (RSMPC) were used for the experimental application in the multivariable control of the pilot plant (level and pH).
The simulations and experimental results indicate the applicability and limitation of the control technique.
American Psychological Association (APA)
Silva, C. H. F.& Henrique, H. M.& Oliveira-Lopes, L. C.. 2012. Experimental Application of Predictive Controllers. Journal of Control Science and Engineering،Vol. 2012, no. 2012, pp.1-18.
https://search.emarefa.net/detail/BIM-450526
Modern Language Association (MLA)
Silva, C. H. F.…[et al.]. Experimental Application of Predictive Controllers. Journal of Control Science and Engineering No. 2012 (2012), pp.1-18.
https://search.emarefa.net/detail/BIM-450526
American Medical Association (AMA)
Silva, C. H. F.& Henrique, H. M.& Oliveira-Lopes, L. C.. Experimental Application of Predictive Controllers. Journal of Control Science and Engineering. 2012. Vol. 2012, no. 2012, pp.1-18.
https://search.emarefa.net/detail/BIM-450526
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-450526