摘要
编码器由于码盘刻划精度、轴系跳(晃)动、安装工艺、环境干扰等原因,必然存在误差。为了提高编码器的精度,减小测量误差,本文首先针对编码器误差源进行了分析,并提出了基于BP神经网络的误差补偿方法,在实际应用中经过补偿后误差由20″提高到了2″以内,然后对其进行了精度校验,此校验方法主要利用激光干涉仪对编码器相对转角量进行检测。最后利用LabVIEW虚拟仪器对此校验系统进行了设计,并对实验所得数据进行了数据处理和分析。
Encoders must have errors due to ruling precision,rotary axis excursion,installation technology,external disturbance,etc.In order to improve accuracy and reduce error,the sources of the error are analyzed,and an error compensation method based on BP neural network are put forward.After compensation the error was decreased from 20″ to 2″.The relative amount of angle is detected using laser interferometer to complete accuracy calibration.Finally,the calibration system is designed by using LabVIEW virtual instrument,and the experimental data are processed and analyzed.
出处
《长春理工大学学报(自然科学版)》
2013年第3期20-22,31,共4页
Journal of Changchun University of Science and Technology(Natural Science Edition)