信息与控制2016，Vol.45Issue(3)：287-293,7.DOI:10.13976/j.cnki.xk.2016.0287
基于粒子群和辅助变量法的分数阶系统辨识
Identification of Fractional Order System Based on PSO and Recursive Instrumental Variable Methods
摘要
Abstract
To identify the frequency domain in fractional order systems in noisy environments,we propose an identification method that combines the particle swarm optimization (PSO) algorithm with the recursive instrumental variable (RIV) method.First,we extend the RIV method to identify the frequency domain of a fractional order system.Then,we combine the anti-interference performance of the RIV method with the global optimization capability of PSO.We apply the PSO algorithm to estimate the order and apply the RIV method to identify the multinomial coefficients.Experimental results and the identification example of an electric network show that the proposed method is applicable to commensurate,as well as general,fractional order systems.关键词
分数阶系统/频域辨识/递推辅助变量法/粒子群算法Key words
fractional order system/frequency domain identification/recursive instrumental variables method/particle swarm optimization分类
数理科学引用本文复制引用
王东风,孟丽..基于粒子群和辅助变量法的分数阶系统辨识[J].信息与控制,2016,45(3):287-293,7.基金项目
高等学校博士学科点专项科研基金资助项目(20120036120013) （20120036120013）
中央高校基本科研业务费专项资金资助项目(2014MS139) （2014MS139）
