Fuzzy Logic Based Controller for Peak Traffic Detection in Elevator Systems
1 University of Seville Grupo Ingenieria Organizacion. Escuela Superior Ingenieros, Camino de los Descubrimientos s/n. Sevilla 41092. SPAIN † E-mail: pca@esi.us.es † URL: http://io.us.es/P.Cortes/ Abstract Vertical transportation refers to the problem that arises when a passenger wishes to travel by lift between the floors of a building. Controllers are installed in lifts that aim to maximise specific criteria such as passenger waiting time, the energy consumption, or the handling capacity. However, in order to make a correct car-call allocation, a traffic analysis must be previously carried out in the building. In fact, peak traffic can lead to dramatic waiting times during busy hours in the case of no modification of the car-call allocation rules. This paper presents a fuzzy logic based controller for peak traffic detection in elevator systems. The controller is validated with the most authorised traffic patterns in the industry for office buildings, namely the CIBSE Guide, and the Strakosch and Siikonen traffic patterns. The fuzzy logic controller demonstrate a suitable performance providing adequate traffic pattern identification for all cases. The controller was proved to be robust and reliable when tested with patterns depicting sudden or smooth changes, and with high or low maximum and minimum peaks. Keywordsvertical transportation, elevator, fuzzy logic, peak traffic