Please use this identifier to cite or link to this item:
Title: Greenhouse air temperature optimal fuzzy controller
Author: Salgado, Paulo
Igrejas, Getúlio
Cunha, José Boaventura
Keywords: Optimal
Issue Date: 2008
Citation: Salgado, Paulo; Igrejas, Getúlio; Cunha , José Boaventura (2008) - Greenhouse air temperature optimal fuzzy controller. In 8th Portuguese Conference on Automatic Control. Vila Real
Abstract: A new scheme of fuzzy optimal control for the temperature of an Agriculture Greenhouse is presented. The proposed method is based on the Pontryagin’s Minimum Principle (PMP) that is used to train an adaptive fuzzy inference system to estimate values for the optimal co-state variables. This work shows that it is possible to successfully control a greenhouse by using these techniques. A method is presented to control the greenhouse air temperature achieving significant energy savings by minimizing a quadratic performance index selected for the desired operating conditions. This approach allows finding a solution to the optimal control problem on-line by training the system, which can be used on a closedloop control strategy. Successful simulations results for the controlled system are presented.
Appears in Collections:DE - Artigos em Proceedings Não Indexados ao ISI/Scopus

Files in This Item:
File Description SizeFormat 
CONTROLO2008 - Greenhouse air temperature.pdf223,09 kBAdobe PDFView/Open

FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.