中文摘要：

固体氧化物燃料电池（SOFC）被认为是21世纪最有潜力的发电技术之一。文章针对固体氧化物燃料电池（SOFC）具有较强的输出非线性且难以建模的特点，提出一种基于Takagi-Sugeno模型的模糊预测控制方法。文章先根据SOFC的结构建立了机理模型，然后采用模糊聚类的方法，建立了Takagi-Sugeno的预测模型来逼近模型中的非线性部分，并结合广义预测控制算法（GPC）来实现对SOFC的控制，此方法能很好的解决SOFC输出电压不稳定和难以跟踪设定功率的问题。对SOFC系统的仿真结果表明了该方法的有效性。

英文摘要：

Solid Oxide Fuel Cell （SOFC） is considered as one of the promising electricity generation in 21^th century. In this paper, fuzzy predictive control based on Takagi-Sugeno model is proposed for the characteristic of SOFC which has severe output nonlinearity and is difficult to model. We construct the mathematic model in term of its structure firstly, and then construct Takagi-Sugeno predictive model using fuzzy clustering to approach the nonlinearity. Fuzzy model is connected with generalized predictive control algorithm to realize the control of SOFC. This method can solve the problem of SOFC that the output voltage isn＇t stable and power is hard to be followed, the simulation of SOFC systems result shows the effectiveness of this method.