文章基本信息

标题：Fuzzy Modeling and Predictive Control of Power plant Steam Temperature System
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作者：Xiao Wu ; Jiong Shen ; Yiguo Li 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：30
页码：397-402
DOI：10.1016/j.ifacol.2015.12.411
语种：English
出版社：Elsevier
摘要：AbstractThis paper develops a data-driven modeling strategy and predictive controller for the superheater steam temperature (SST) system in the power plant. First, a data-driven Takagi—Sugeno (T-S) fuzzy model is developed to approximate the behavior of the SST control system using the subspace identification (SID) method. Then, a fuzzy model predictive controller is designed based on the TS-fuzzy model to regulate the SST under the input constraints. Simulation results on a 600MW power plant demonstrate the feasibility and effectiveness of the proposed approach
关键词：KeywordsSuperheater steam temperature systempower plantsubspace identificationTS-fuzzy modelmodel predictive control