Predictive functional control based on fuzzy T-S model for HVAC systems temperature control
Hongli L(U)
Lei JIA
Shulan KONG
Zhaosheng ZHANG
摘要：In heating,ventilating and air-conditioning(HVAC)systems,there exist severe nonlinearity,time-varying nature,disturbances and uncertainties.A new predictive functional control based on Takagi-Sugeno(T-S)fuzzy model was proposed to control HVAC systems.The T-S fuzzy model of stabilized controlled process was obtained using the least squares method,then on the basis of global linear predictive model from T-S fuzzy model,the process was controlled by the predictive functional controller.Especially the feedback regulation part was developed to compensate uncertainties of fuzzy predictive model.Finally simulation test results in HVAC systems control applications showed that the proposed fuzzy model predictive functional control improves tracking effect and robustness.Compared with the conventional PID controller,this control strategy has the advantages of less overshoot and shorter setting time,etc.
机标关键词：predictive functional controlfuzzy modelpredictive modelthe least squares methodcontrol applicationscontrol strategyPID controllertest results
分类号：TP3(计算技术、计算机技术)
资助基金：Young Scientists Fundamental Research Program of Shandong Province of China(031B5147)
论文发表日期：2007-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：5( 94-98 )
英文信息