Artificial neural networks application in Duplex/Triplex elevator group control system

Imrak C. E.

STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING, cilt.54, sa.2, ss.103-114, 2008 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 54 Sayı: 2
  • Basım Tarihi: 2008
  • Dergi Adı: STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.103-114
  • Anahtar Kelimeler: elevators group control systems, neural networks, backpropagation
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

Artificial neural networks can offer the better solution to the passenger call distribution problem when compared to the conventional elevator control systems. Therefore, the application of neural networks in elevator group control system is discussed. The significance of introducing artificial neural networks is presented. Elevator group control systems with neural networks can predict the next stopping floors to stop by considering what has been learnt by processing the changes in passenger service demand pattern. This paper deals with the use of artificial neural networks for the distribution of the most suitable cars to the floors by considering the passenger service demand. Artificial neural networks are applied in Duplex/Triplex group control systems for improving passenger waiting time. The backpropagation algorithm is used for training neural networks. The elevator traffic analysis and simulation results are presented and compared to conventional elevator control systems. (C) 2008 Journal of Mechanical Engineering. All rights reserved.