DYNAMIC FUZZY LOGIC ELEVATOR GROUP CONTROL SYSTEM FOR ENERGY OPTIMIZATION

Joaquín Fernández (), Pablo Cortés (), José Guadix () and Jesús Muñuzuri ()
Additional contact information
Joaquín Fernández: Ingeniería de Organización. University of Seville, Camino de los Descubrimientos s/n, 41092 Sevilla, España, Spain
Pablo Cortés: Ingeniería de Organización. University of Seville, Camino de los Descubrimientos s/n, 41092 Sevilla, España, Spain
José Guadix: Ingeniería de Organización. University of Seville, Camino de los Descubrimientos s/n, 41092 Sevilla, España, Spain
Jesús Muñuzuri: Ingeniería de Organización. University of Seville, Camino de los Descubrimientos s/n, 41092 Sevilla, España, Spain

International Journal of Information Technology & Decision Making (IJITDM), 2013, vol. 12, issue 03, 591-617

Abstract: High-rise buildings with a considerable number of elevators represent a major logistic problem concerning saving space and time due to economic reasons. For this reason, complex Elevator Group Control Systems are developed in order to manage the elevators properly. Furthermore, the subject of energy is acquiring more and more industrial relevance every day as far as sustainable development is concerned. In this paper, the first entirely dynamic Fuzzy Logic Elevator Group Control System to dispatch landing calls so as to minimize energy consumption, especially during interfloor traffic, is proposed. The fuzzy logic design described here constitutes not only an innovative solution that outperforms usual dispatchers but also an easy, cheap, feasible and reliable solution, which is possible to be implemented in real industry controllers.

Keywords: Elevator; energy optimization; fuzzy logic; sustainable development; vertical transportation; 22E46; 53C35; 57S20 (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219622013500223
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:12:y:2013:i:03:n:s0219622013500223

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219622013500223

Access Statistics for this article

International Journal of Information Technology & Decision Making (IJITDM) is currently edited by Yong Shi

More articles in International Journal of Information Technology & Decision Making (IJITDM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().