电气传动2019，Vol.49Issue(8)：62-65,79,5.DOI:10.19457/j.1001-2095.dqcd18836
音圈电机定位的神经网络PID前馈控制方法
Neural Network PID Feedforward Control Method for the Position of Voice Coil Motor
摘要
Abstract
According to the positioning control characteristics of camera module in the packaging process,the mathematical model for the positioning system of voice coil motor was analyzed,and the neural network PID feedforward control model for the position of voice coil motor was proposed,which could self-tuning PID parameters online. In order to compensate BP neural network,BP neural network algorithm was improved. By applying the proposed model to the camera module calibration device,the experiment and application results show that the model has high positioning accuracy,and fast regulating speed,which can improve the efficiency of production,and can be applied to electronic product packaging,and other areas of the similar engineering.关键词
封装定位/音圈电机/BP神经网络/PID前馈控制/自整定Key words
encapsulation and positioning /voice coil motor /BP neural network /PID feedback control /self-tuning分类
信息技术与安全科学引用本文复制引用
杨风开,杨红亮,程素霞..音圈电机定位的神经网络PID前馈控制方法[J].电气传动,2019,49(8):62-65,79,5.基金项目
上海市科技人才计划项目(15QB1404200) （15QB1404200）
