Mobile QR Code QR CODE : The Korean Institute of Power Electronics
Title Safety Improvement of an Automatic Door System Using a Disturbance Observer and Neural Network
Authors 劉Young-Dong Yoo ; 李Kyo-Beum Lee ; Suk-Kyo Hong
DOI 10.6113/TKPE/2010.15.5.401
Page pp.401-410
ISSN 1229-2214
Keywords Automatic door system; Disturbance observer; Neural network; Safety improvement
Abstract This paper proposes an automatic door system which improves the safety of conventional automatic door systems by complementing the external safety sensors. Disturbance observer using the model of automatic door system and neural network is designed. The proposed algorithm compares the observed disturbance with the output of neural network. Experimental results are presented to illustrate the feasibility of the proposed control strategy. The proposed strategy is expected to improve the safety of an automatic door system.