The Intelligent Control Of Elevator Group

This article focuses on the elevator group control algorithm, and a network integration of the elevator control system is simultaneously introduced.In this thesis, the fuzzy neural network technology, combining fuzzy inference with neural network, is applied in the group control system. We take Average Waiting Time, Long Waiting Probabilities, Energy Consumptions as evaluation function, and construct three four-layer new fuzzy neural networks calculating the evaluation criteria values. Then the BP algorithm adding momentum item is used. We choose part-layer algorithm to modify the weighting-value between the third layer and the forth one. This thesis develops software to simulate elevator group dispatch by using VC, makes a primitive study of the fuzzy neural network approach on the elevator group control and proves its validity.