Dynamic modeling of SOFC based on a T–S fuzzy model
作者： Xiao-juan Wu , Xin-jian Zhu , Guang-yi Cao , Heng-yong Tu
DOI: 10.1016/J.SIMPAT.2008.02.004
关键词:
摘要: Abstract The operating temperature and voltage are the key parameters affecting performance of Solid Oxide Fuel Cell (SOFC). In this article a Takagi–Sugeno (T–S) fuzzy model is proposed to describe nonlinear dynamic properties SOFC system. During process modeling, Fuzzy Clustering Means (FCM) method used determine antecedent parameters, linear consequent identified by recursive least squares algorithm. validity accuracy modeling tested simulations. simulation results show that it feasible establish using T–S identification method.
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