基于TS-FNN的城市固废焚烧过程MIMO被控对象建模

Modeling of MIMO controlled object in municipal solid waste incineration process based on TS-FNN

针对城市固废焚烧(MSWI)过程中因机理反应复杂、不确定性严重等原因导致被控对象模型难以建立的问题,设计了一种基于(T-S)型模糊神经网络(FNN)的多输入多输出(MIMO)模型.首先,描述了MSWI过程的核心工艺流程并分析了模型的影响因素;接着,设计了面向过程控制的被控对象建模策略,其由工况识别模块、数据预处理模块、特征约简模块、被控对象模型训练模块与被控对象模型测试模块组成;最后,通过实验表明了所构建模型的有效性,为研究MSWI过程的优化控制算法奠定了基础.

Aiming at the problem that the model of controlled object is difficult to establish due to the complicated mechanism reaction and serious uncertainty in the municipal solid wastes incineration(MSWI)process,a multi-input multioutput(MIMO)model based on Takagi-Sugeno(T-S)fuzzy neural network(FNN)is designed.First,the core process flow of MSWI process is described and the influence factors of model are analyzed.Then,a modeling strategy for controlled object of process control is designed,which is composed of an operating condition recognition module,a data preprocessing module,a feature reduction module,a training module for the model of controlled object,and a testing module for the model of controlled object.Finally,the effectiveness of the constructed model is verified by experiments,which lays the foundation for studying the optimal control algorithm of MSWI process.