BP网络算法在平面运动测量误差补偿中的应用  

Application of BP network algorithm in error compensation of planar motion measurement

作　　者：哈乐[1] 房立金[1] 

机构地区：[1]东北大学机械工程与自动化学院,沈阳110819

出　　处：《沈阳工业大学学报》2016年第1期86-90,共5页Journal of Shenyang University of Technology

基　　金：国家重点基础研究发展计划项目(2013CB733100)

摘　　要：在航天对接试验平台开发项目中,针对平面运动物体非接触高精度测量的难点,提出一种针对物体三自由度平面运动的创新性测量方法.利用激光测距传感器的并联组合,实现对物体位置和姿态的非接触式测量.以传感器测量值为输入样本,运用BP神经网络算法建立误差模型,通过调整权值因子使建立的网络模型能够拟合出测量误差,从而修正测量的数学模型.基于BP神经网络的误差补偿方法对平面运动物体测量误差的补偿具有明显的效果,能够满足位姿测量的精度要求.In the development project of space docking test platform, an innovative measurement method for the planar movement of object with three degrees of freedom was proposed aiming at the difficulties in the non-contact high-precision measurement of object in planar movement. With the parallel combination of laser ranging sensors, the non-contact measurement for the position and posture of object could be realized. Through taking the measured values of the sensors as the input sample, the error model was established with BP neutral network algorithm. Through adjusting the weight factor, the network model could fit the measurement error. Thereby, the mathematical model for measurement could be corrected. The results verify that the error compensation method based on BP neural network has a significant effect on the compensation of measurement error for the object in planar motion and can meet the accuracy requirements in position and posture measurement.

关 键 词：并联测量 激光测距 非接触 传感器 BP神经网络算法 误差模型 权值因子 误差补偿 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]