文章基本信息

标题：Rule Weight Base Behavioural Modeling of Steam Turbine Using Genetically Tuned Adaptive Network Based Fuzzy Inference System
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作者：D. N. Dewangan ; Dr. Y. P. Banjare ; Dr. Manoj Kumar Jha 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2014
卷号：3
期号：12
页码：18055
DOI：10.15680/IJIRSET.2014.0312040
出版社：S&S Publications
摘要：In view nonlinearities, steam turbine complex structure of dynamic modelling, selection of suitable configuration of adaptive network based fuzzy inference system (ANFIS) and minimizing the modelling error, a rule weight base behavioural system modelling of steam turbine (genetically tuned ANFIS) model has proposed to solve the problem through the assessment of enthalpy and power output of the system. The accuracy and performance of enthalpy estimation over wide range of operation data has estimated with reference to integral square error (ISE) criterion. This technique is useful in order to adjust model parameters over full range of input output operational data. From this work, it is clearly evident that the error obtained from conventional ANFIS structure is much higher than that of obtained fro m ANFIS structure after genetically tuning.
关键词：Genetic algorithm; ANFIS; integral square error; steam turbine