FPGA implementation of fuzzy logic elevator group controller with traffic based system

This paper present an implementation of fuzzy logic controller (FLC) on a field programmable gate array (FPGA) system for managing the traffic of two or more elevator group control system. The proposed design responds to a new hall call by determining the most suitable car based on an evaluation function computed for each car. The car with the lowest value of evaluation function is selected to serve the hall call. This proposed approach is based on an algorithm that consists of two parameters, first parameter is the estimated arrival time to the floor where the hall call occurs, second parameter is the floor priority coefficients (K_i). Simulation is carried out by considering three inputs i.e. average waiting time (AWT), power consumption (PC), and floor traffic (FT). During the hours of low passenger traffic, high fuzzy control values resulted in the cars to be positioned at the floors to which high priority values are assigned. When the passenger traffic is high, the low fuzzy control values reduce the importance of priority of floors, rather the estimated arrival time is to be minimized.