Innovative strategy to improve precision and to save power of a real-time control process using an online adaptive fuzzy logic controller

Authors:
R. Lasri;I. Rojas;H. Pomares;O. Valenzuela
Affiliations:
Department of Computer Architecture & Computer Technology, University of Granada, Granada, Spain;Department of Computer Architecture & Computer Technology, University of Granada, Granada, Spain;Department of Computer Architecture & Computer Technology, University of Granada, Granada, Spain;Department of Applied Mathematics, University of Granada, Granada, Spain
Venue:
Advances in Fuzzy Systems
Year:
2013

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Abstract

The main objective of this paper is to prove the great advantage that brings our novel approach to the intelligent control area. A set of various types of intelligent controllers have been designed to control the temperature of a room in a real-time control process in order to compare the obtained results with each other. Through a training board that allows us to control the temperature, all the used algorithms should present their best performances in this control process; therefore, our self-organized and online adaptive fuzzy logic controller (FLC) will be required to present great improvements in the control task and a real high control performance. Simulation results can show clearly that the new approach presented and tested in this work is very efficient. Thus, our adaptive and self-organizing FLC presents the best accuracy compared with the remaining used controllers, and, besides that, it can guarantee an important reduction of the power consumption during the control process.