典型文献
PEMFC Fractional-order Subspace Identification Model
文献摘要：
A proton exchange membrane fuel cell (PEMFC) is a new type of hydrogen fuel cell that plays an indispensable role in an energy network. However, the multivariable and fractional-order characteristics of PEMFC make it difficult to establish a practical model. Herein, a fractional-order subspace identification model based on the adaptive monarch butterfly optimization algorithm with opposition-based learning (ALMBO) algorithm is proposed for PEMFC. Introducing the fractional-order theory into the subspace identification method by adopting a Poisson filter for with input and output data, a weight matrix is proposed to improve the identification accuracy. Additionally, the ALMBO algorithm is employed to optimize the parameters of the Poisson filter and fractional order, which introduces an opposition-based learning strategy into the migration operator and incorporates adaptive weights to improve the optimization accuracy and prevent falling into a locally optimal solution. Finally, the PEMFC fractional-order subspace identification model is established, which can accurately describe the dynamic process of PEMFC.
文献关键词：
中图分类号：
作者姓名：
Sun Chengshuo;Qi Zhidong;Qin Hao;Shan Liang
作者机构：
School of Automation,Nanjing University of Science and Technology,Nanjing,210094
文献出处：
引用格式：
[1]Sun Chengshuo;Qi Zhidong;Qin Hao;Shan Liang-.PEMFC Fractional-order Subspace Identification Model)[J].中国炼油与石油化工（英文版）,2022(03):151-160
A类：
ALMBO
B类：
PEMFC,Fractional,order,Subspace,Identification,Model,proton,exchange,membrane,fuel,cell,new,type,hydrogen,that,plays,indispensable,role,energy,network,However,multivariable,fractional,characteristics,make,difficult,practical,model,Herein,subspace,identification,adaptive,monarch,butterfly,optimization,algorithm,opposition,learning,proposed,Introducing,theory,into,method,by,adopting,Poisson,filter,input,output,data,matrix,improve,accuracy,Additionally,employed,optimize,parameters,which,introduces,strategy,migration,operator,incorporates,weights,prevent,falling,locally,optimal,solution,Finally,established,can,accurately,describe,dynamic,process
AB值：
0.536949
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