含饱和特性的双采样率数据Hammerstein系统辨识  

Identification of Dual-rate Sampled Data Nonlinear Systems with Saturation Characteristic Function

作　　者：王宏伟 陈瑜潇[1] WANG Hong-wei;CHEN Yu-xiao(School of Electrical Engineering,Xinjiang University,Urumqi 830047,China;School of Control Science and Control Engineering,Dalian University of Technology,Dalian 116024,China)

机构地区：[1]新疆大学电气工程学院,乌鲁木齐830047 [2]大连理工大学控制科学与工程学院,大连116024

出　　处：《科学技术与工程》2020年第28期11639-11646,共8页Science Technology and Engineering

基　　金：新疆维吾尔自治区自然科学基金(2019D01C073)。

摘　　要：针对含有饱和特性的双采样率数据Hammerstein系统提出了一种新的辨识方法。首先,将含有饱和特性的静态非线性环节和线性动态环节的串联,整理成一个非线性基函数和线性动态环节的串联。在此基础上,利用辅助模型辨识原理解决数据缺失、中间未知变量、被辨识参数之间存在耦合的问题,通过递推辨识算法利用双率采样数据辨识单率Hammerstein模型中的参数。最后,以一个含饱和特性非线性系统实例的建模来验证提出辨识算法的有效性。A novel identification method of dual-rate sampled data Hammerstein system with saturation characteristic function was proposed.For such nonlinear systems,the series connection of linear dynamic module and static nonlinear module with saturation characteristic function was arranged into the series connection of linear dynamic module and the corresponding nonlinear basis functions.On this basis,the principle of auxiliary model identification was employed to deal with problems of missing sampling data,unknown intermediate variables,and coupling between identified parameters.The recursive identification algorithm was used to estimate the parameters of single rate Hammerstein model by dual-rate sampled data.Finally,the effectiveness of the proposed identification algorithm was verified by building model of a nonlinear system with saturation characteristics.

关 键 词：辅助模型 饱和特性 HAMMERSTEIN模型 缺失数据 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]