机械与电子Issue(9)：13-15,3.
双通道多级旋转变压器的标定和基于BP神经网络的误差补偿方法
Calibration for Twin- channel Multipole Resolvers and the Method of Error Compensationon BP Neural Network
张飞 1史士财 1孙敬颋 1郭闯强 1陈泓 1刘宏1
作者信息
- 1. 哈尔滨工业大学机器人技术与系统国家重点实验室,黑龙江哈尔滨150001
- 折叠
摘要
Abstract
The paper realizes calibration for re-solvers by high - accuracy encoder. To enhance measure precision,a method of error compensation on BP neural network is presented and trains the error curve by this network, then writes the training result into DSP to realize the real - time compensation. The experiment shows that the resolv-er's error can be reduced from 9' to 0. 3' by the compensation and the repeatability is high.关键词
旋转变压器/零位误差/幅值误差/BP神经网络Key words
resolver/zero- position error/magnitude error /BP neural network分类
信息技术与安全科学引用本文复制引用
张飞,史士财,孙敬颋,郭闯强,陈泓,刘宏..双通道多级旋转变压器的标定和基于BP神经网络的误差补偿方法[J].机械与电子,2011,(9):13-15,3.
