期刊刊名：崑山科技大學學報 　 卷期：10期

篇名出版日期：2015年9月1日

作者：Chun-Jung Chen,Tien-Chi Chen,Min-Fang Wu,Chia-Yu Lee,Tsung-Heng Ma

語言：English

關鍵字：AOI Position Control,Speed control,Recurrent Neural networks,RNN

被點閱次數：0次

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摘要：
This paper presents a two layer recurrent neural network applied in glass position and speed control transmitted by linear servomotor in Automated Optical Inspection (AOI) system platform. The recurrent neural network consists of an identifier and a controller, the identifier is used to catch a feedback signal from the position sensor and the controller is processed in microprocessor in order to supply an adaptive PWM signal. The AOI glass is transmitted and controlled by linear servomotor. The PWM was processed by 30F40XX series microprocessor. The performance of the proposed method was proved better than without neural network algorithm. The theoretic formulations of the proposed neural networks were derived. The stability of the proposed method was also analyzed and demonstrated.

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