A design for elevator group controller of building using adaptive dual fuzzy algorithm

Abstract

In this paper, the development of a new group controller for high-speed elevators is described utilizing the approach of adaptive dual fuzzy logic. Some goals of the control are to minimize the waiting time, mean-waiting time and long-waiting time in a building. When a new hall call is generated, an adaptive dual fuzzy controller evaluates the traffic patterns and changes the membership function of a fuzzy rule base appropriately. A control algorithm is essential to control the cooperation of multiple elevators in a group and the most critical control function in the group controller is an effective and proper hall call assignment of the elevators. The group elevator system utilizing adaptive dual fuzzy control clearly performs more effectively than previous group controllers.

Development of Lift Control System Algorithm and P-M-E Analysis in the Workplace

“…Recent studies have introduced novel approaches for applying fuzzy logic in order to improve the expert prediction of lift control as compared to the old methods to increase efficiency in lift systems and energy optimization [26][27][28]. Jamaludin et al further extended conventional fuzzy lift systems by introducing a self-tuning mechanism to adapt the control system to the continually changing traffic with better precision [29,30].…”

Automação de um sistema de pulverização para aplicação de agroquímicos a taxa variada usando injeção direta

“…Os resultados mostram que o controlador dual reduziu o tempo de espera médio em até 30%. A Figura 2.6, adaptada deKim (2001), ilustra o esquema utilizado no controlador dual.…”