Nonlinear modeling of drum–boiler–turbine unit using an evolving Takagi–Sugeno fuzzy model

摘要：

The boiler–turbine unit (BTU) is a highly non-linear,multivariable,and time-varying system.The normal linear or quasi-linear modeling can not reflects the real nonlinear characteristics of the BTU,degrading control precision and operating performance.This paper deals with nonlinear modeling of a drum-type BTU using an evolving Takagi–Sugeno (T–S) fuzzy model.A novel method based on fuzzy clustering,least-squares,and genetic algorithms (GA) is proposed to construct a parsimonious dynamic T–S fuzzy model with high generalization ability.In this method,a self-organizing fuzzy model generation strategy based on GA is proposed for selecting the optimal structure (including the number of rules and input variables) and antecedent parameters of the fuzzy model.Furthermore,the modified Akaike information criterion is introduced as the evaluation function of GA,which enables the self-organizing strategy to choose an optimal fuzzy model with a good tradeoff between fitting the training data and keeping the model simple.The simulation results show that the developed dynamic T–S fuzzy model can accurately approximates the global behavior of the nonlinear physical model with a low number of rules and fewer input variables.Further,based on the obtained T–S fuzzy model,valid control strategy studies such as predictive control can be developed.

关键词： Boiler–turbine unit modeling Takagi–Sugeno fuzzy model Fuzzy clustering Genetic algorithms Akaike information criterion

作者: Lin Jin-xing Shen Jiong

作者单位: School of Energy and EnvironmentSoutheast University,Nanjing Jiangsu,China School of Energy and Environment Southeast University,Nanjing Jiangsu,China

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）