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 increasing data samples;additionally,the complex calibration method also has better generalization performance in comparison with the SVM black box modeling,indicating that it can provide a basis for the design of sensors.