基于LS-SVM-FLANN的虚拟仪器系统非线性动态补偿

针对虚拟仪器系统存在的非线性动态测量误差,提出了一种新的补偿方法.该方法依据虚拟仪器系统的静态和动态标定数据,采用最小二乘支持向量机(LS-SVM)构造的函数链接型神经网络(FLANN)辨识得到静态补偿环节及动态补偿环节模型,再将其串接到原虚拟仪器系统的后面来修正其非线性特性,改善其动态特性,从而获得系统理想的输入输出特性.实验结果表明该方法用于虚拟仪器系统动态非线性误差补偿的有效性及优越性.

LS-SVM-FLANN-Based Nonlinear Dynamic Compensation for Virtual Instrument System

A new compensating method is presented to eliminate nonlinear dynamic measurement error of virtual instrument system.In this method,according to the static and dynamic calibrated data of virtual instrument system,the parameters of static and dynamic compensation link models are identified on the basis of the functional link artificial neural networks(FLANN) that is constructed by the least square-support vector machine(LS-SVM),then both the compensation link models are connected in series to the original vi...