基于深度学习图像分析的晶体特性反馈控制.

Aiming at the online control of crystal size expectation and standard deviation characteristics， an online feedback control method based on deep learning image analysis is proposed. Firstly， the crystal image analysis method using deep learning neural network is introduced to analyze the shape and size of crystals online. Then， mathematical statistical analysis is performed to obtain the size expectation and standard deviation of a certain batch of crystals. Finally， a feedback controller combining path tracking algorithm and PID algorithm is designed to deal with under-input characteristics， so that the target size expectation and standard deviation is obtained. The effectiveness and feasibility of the proposed method is verified by the alum cooling crystallization experiment. [ABSTRACT FROM AUTHOR]