Studies Of Elevator Group Control System Based On Fuzzy Neural Network

In recent years, elevator has become essential in higher buildings. However, traditional single elevator can’t meet all the passengers’requirements in many cases. A better method of putting many elevators together for unified monitoring, which is called as elevator group control systems (EGCS), has developed for the purpose of decreasing waiting time and power consumption. Owing to the complex nonlinearity, it’s necessary to build an exact mathematics mode by applying intelligent control methods. In this paper, we mainly focus on Fuzzy Neural Network and the fuzzy reasoning applied in neural networks structure. BP algorithm is used to optimize local parameter. Fuzzy neural network elevator group control system (FEGCS) has been discussed. Condider the mental need and physical requirement of passengers, a new elevator group control system is proposed. By taking several evaluation criteria of the elevator function into consideration, the logic rules are made. Finally, comparative simulations illustrate that the proposed algorithm can deal with variety traffic mode and satisfy all needs of single traffic mode.