Volume 12, Issue 3, August 2015, Pages 698–704
Mohamed Essahafi1 and Mustapha Ait Lafkih2
1 Faculty of Sciences and Technology, University of Sultan Moulay Slimane, Béni Mellal, Morocco
2 Laboratory of Automatic and Energy Conversion (LACE), Electrical Engineering Department, University of Sultan Moulay Slimane, Faculty of Sciences and Technology, B.P: 523 Beni-Mellal 23000, Morocco
Original language: English
Copyright © 2015 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
In this paper, the Adaptive Generalized Minimum Variance (AGMVC) is designed to control a Single Input Single Output (SISO) of central heating process by adjusting the flow of hot fluid through a valve driven by an electric voltage input. The model of the process has been obtained by an on- line algorithm identification using the Recursive Least-Squares estimation technique (RLS).
Author Keywords: Adaptive Control, minimum variance, lest-square estimation.
Mohamed Essahafi1 and Mustapha Ait Lafkih2
1 Faculty of Sciences and Technology, University of Sultan Moulay Slimane, Béni Mellal, Morocco
2 Laboratory of Automatic and Energy Conversion (LACE), Electrical Engineering Department, University of Sultan Moulay Slimane, Faculty of Sciences and Technology, B.P: 523 Beni-Mellal 23000, Morocco
Original language: English
Copyright © 2015 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
In this paper, the Adaptive Generalized Minimum Variance (AGMVC) is designed to control a Single Input Single Output (SISO) of central heating process by adjusting the flow of hot fluid through a valve driven by an electric voltage input. The model of the process has been obtained by an on- line algorithm identification using the Recursive Least-Squares estimation technique (RLS).
Author Keywords: Adaptive Control, minimum variance, lest-square estimation.
How to Cite this Article
Mohamed Essahafi and Mustapha Ait Lafkih, “Adaptive Generalized Minimum Variance (AGMV) Applied to a Heating Central,” International Journal of Innovation and Applied Studies, vol. 12, no. 3, pp. 698–704, August 2015.
