Title :
Research for distributed elevator group control base on fuzzy neural network
Author :
Liu Tundong ; Liao Xiaosheng ; Zeng Jianping
Author_Institution :
Sch. of Inf. Sci. & Technol., Xiamen Univ., Xiamen, China
Abstract :
In order to meet the increasing requirements on real-time and reliability of elevator group control, ARM chip is applied to construct hardware platform of elevator´s main-board in this paper. Based on ARM embedded hardware platform, distributed architecture of elevator group control is designed, aiming to solve the problems caused by elevator group control´s non-linearity, uncertainty and interference. And on the basis of distributed architecture, fuzzy neural network technology is used to design intelligent scoring algorithm for elevator group control. Finally, test finished on elevator model proves the rationality and practical value of the distributed architecture as well as the intelligent scoring algorithm.
Keywords :
distributed processing; fuzzy set theory; lifts; neural nets; reduced instruction set computing; ARM chip; ARM embedded hardware platform; distributed elevator group control; fuzzy neural network; intelligent scoring algorithm; Algorithm design and analysis; Artificial neural networks; Control systems; Elevators; Floors; Fuzzy control; Fuzzy neural networks; Distributed Architecture; Elevator Group Control; Fuzzy Neural Network;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6