TSK MODEL-BASED FUZZY LOGIC CONTROL OF CARBON DIOXIDE CONCENTRATION IN ROOMS

作     者：Yordanova, Snejana 

作者机构：Tech Univ Sofia Fac Automat Intelligent Control Syst Sofia Bulgaria 

出 版 物：《MECHATRONIC SYSTEMS AND CONTROL》 (Mechatronic Syst. Control)

年 卷 期：2018年第46卷第1期

页      面：32-38页

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 081104[工学-模式识别与智能系统] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程] 

主　　题：Carbon dioxide concentration genetic algorithms MATLAB (TM) real-time control parallel distributed compensation stability analysis Takagi-Sugeno-Kang modelling 

摘      要：The proper carbon dioxide concentration in premises is one of the factors for the indoor climate comfort. Its control via ventilation depends on the quality of the fresh air used and is accompanied by high energy consumption. The plant is nonlinear with no reliable and simple plant model which makes the design of a linear controller difficult. The model-free fuzzy logic controllers (FLCs) successfully tackle such problems. In the present paper, an FLC based on the principle of parallel distributed compensation is designed to enhance the controller s tuning, to further improve the control system performance and energy efficiency and to enable its stability analysis. It uses a Takagi-Sugeno-Kang plant model derived from plant input-output experimental data with the help of genetic algorithms optimization.