AOI Position and Speed Control Using Neural Networks Algorithm
Chun‐Jung Chen, Tien-Chi Chen, Minfang Wu, Chia-Yu Lee, Tsung-Heng Ma · 2015
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.