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The Application of the Fuzzy Neural Network Control in Elevator Intelligent Scheduling Simulation

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3 Author(s)
Yine Zhang ; Sch. of Math. & Comput. Sci., GanNan Normal Univ., Ganzhou, China ; Yun Yi ; Jian Zhong

Because of the diversity of target about the elevator group control system and inherent randomness and non-linear of the elevator system, so it is very difficult to improve the performance of the elevator control system through the traditional control methods .In the elevator group control system it is feasible that the system coordinate the operation of multiple elevators by use of the fuzzy BP neural network and the optimized control strategy, which can increase the transport efficiency and service quality. This paper has set up the gauss member function of customer's waiting elevator satisfactory and customer's riding elevator satisfactory andcustomer's energy compulsions satisfactory, construct the model of the fuzzy BP neural network through the intelligent scheduling characteristics of the elevator. The different weights have been given through the different patterns of the running elevator and the simulations of the elevator intelligent dispatching has been achieved.

Published in:

Information Science and Engineering (ISISE), 2010 International Symposium on

Date of Conference:

24-26 Dec. 2010