多维传感器标定的支持向量机复合式方法

提出了多维传感器标定的支持向量机复合式标定方法,解决了多维传感器标定中的参数不确定性和耦合非线性因素.对一个多维传感器进行了支持向量机复合标定的仿真研究,将这一方法应用到六维力传感器测量系统的标定试验中.结果表明,与传统标定方法相比,支持向量机复合标定的方法在不增加数据样本的情况下,能够显著提高传感器标定的精度;同时也...

Support vector machine complex method for multi-dimensional sensor calibration

A support vector machine(SVM) complex calibration approach was proposed to solve the parameters uncertainty and coupling nonlinearity.The simulation of the calibration of a multi-dimensional sensor was conducted by the SVM complex calibration method,which was then utilized to calibrate a six-dimensional force sensor system.It can be seen from the results that,as compared with other traditional calibration methods,the SVM complex calibration method can improve the calibration accuracy significantly,without i...