离子型聚合物金属复合材料最优分数阶建模  

The Optimum Fractional-order Modeling of IPMC

作　　者：陈岚峰[1,2] 薛定宇[1] CHEN Lan-feng;XUE Ding-yu(Shool of Information Science and Engineering, Northeastern University, Shenyang 110004, China;School of Physical Science and Technology, Shenyang Normal University, Shenyang 110034, China)

机构地区：[1]东北大学信息科学与工程学院,沈阳110004 [2]沈阳师范大学物理科学与技术学院,沈阳110034

出　　处：《控制工程》2018年第6期1122-1126,共5页Control Engineering of China

基　　金：国家自然科学基金(61174145)

摘　　要：针对离子型聚合物金属复合材料（Ion-exchange Polymer-Metal Composites,IPMC）驱动性的频域响应具有非整数阶特点,建立了IPMC的最优分数阶模型。实验基于搭建的IPMC驱动特性信号处理平台得到频域响应曲线。根据频域响应数据,应用分数阶系统辨识实验箱函数Levy和Sanko以及提出的对Sanko的辨识阶次和内部权重参数进行优化的新算法得到3种IPMC分数阶模型。仿真比较辨识算法得到的几种系统分数阶模型与实验数据的拟合效果,可见优化Sanko的辨识阶次和内部权重参数的新算法可以提高辨识精度,得到更为准确的IPMC驱动特性系统分数阶模型。The optimum fractional-order model is built for the non-integer order characteristic of IPMC driven frequency response. The frequency response curve is obtained based on the driving characteristics of IPMC signal processing platform. Three kinds of IPMC fractional-order models are obtained by the functions levy and sanko of the fractional-order system identification box and the new algorithm which optimizes the identification order and internal weighting parameters of sanko based on the frequency response data. The fitting effects with experimental data of several fractional-order models obtained by identification algorithms are compared by simulation. So, the identification accuracy is improved by the new algorithm which optimizes the identification order and internal weighting parameters of sanko. More precise systematic fractional-order model of IPMC driving characteristics can be obtained.

关 键 词：频域响应 最优分数阶模型 辨识阶次 内部权重参数 拟合效果 

分 类 号：TP273.1[自动化与计算机技术—检测技术与自动化装置]