Elevator Group Control System with a Fuzzy Neural Network Model

S Kubo, S Nakai, N Imasaki and T Yoshitsugu

Wednesday 1st March 1995

With the increase in construction of tall buildings and skyscrapers, elevators have become even more important to transport passengers to and from the higher floors. We have developed a high-performance system that has a fuzzy neural network model. This model reduces the passengers’ waiting time in various traffic situations. The fuzzy neural network consists of neural networks that perform the fuzzy rule-based approximate reasoning. We also improved the control system by making it more efficient and reliable by adopting a decentralized control technology and 32-bit microcomputers.

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