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;同时也比纯支持向量机标定有更强的泛化能力,复合标定的模型还可以为传感器的设计提供依据. A multi-dimensional sensor calibration support vector machine compound calibration method is proposed to solve the parameter uncertainty and coupling non-linearity factors in multi-dimensional sensor calibration.A multi-dimensional sensor support vector machine compound calibration simulation study, this method Which is applied to the calibration test of six-dimensional force sensor measurement system.The results show that compared with the traditional calibration method, the support vector machine compound calibration method can significantly improve the accuracy of the sensor calibration without increasing the data sample; Pure support vector machine calibration has more generalization ability, the compound calibration model can also provide the basis for the design of the sensor.