Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

Research of Dispatching Method in Elevator Group Control System Based on Fuzzy Neural Network

Authors
Yufeng Dai, Yun Du
Corresponding Author
Yufeng Dai
Available Online July 2016.
DOI
https://doi.org/10.2991/iccia-17.2017.39How to use a DOI?
Keywords
Elevator group control system, Comprehensive evaluation function, Fuzzy neural network, Dispatching method.
Abstract
Elevator group control system (EGCS) is a complex optimization system to with multi- objective, stochastic and nonlinear characteristics. It is hard to describe EGCS with exact mathematic model and to increase the capability of the system with traditional control method. The fuzzy control technology and neural network technology are combined in this paper and a dispatching method applied to various passenger traffic conditions is proposed. The comprehensive evaluation function of traffic signal is established and the right heavy of every evaluation factor (waiting time, riding time, energy consume) is studied by the neural network, so the elevator is dispatched optimally. The result of simulation shows that this method realizes reasonable elevator dispatching under various passenger traffic conditions and indicates the validity of this method.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Part of series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
978-94-6252-361-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-17.2017.39How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yufeng Dai
AU  - Yun Du
PY  - 2016/07
DA  - 2016/07
TI  - Research of Dispatching Method in Elevator Group Control System Based on Fuzzy Neural Network
BT  - 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 235
EP  - 239
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.39
DO  - https://doi.org/10.2991/iccia-17.2017.39
ID  - Dai2016/07
ER  -