A model free intelligent muhivariable fuzzy controller （MFC） designed for modulating the vapor compression cycles in a residential inverter-driven air conditioning is proposed. The novel controller combines a tradit...A model free intelligent muhivariable fuzzy controller （MFC） designed for modulating the vapor compression cycles in a residential inverter-driven air conditioning is proposed. The novel controller combines a traditional fuzzy controller （TFC） and an additional coupling fuzzy controller, the coupling fuzzy controller is introduced to compensate for the unknown cross-coupling effects of this muhivariable system. In order to evaluate the control performance of the MFC, it is digitally implemented in terms of regulating the desired evaporating temperature and superheat. The experimental results show the effectiveness of the MFC for improvement of system performance and energy efficiency.展开更多
The state of energy(SOE)is an important state parameter and evaluation index to indicate the residual energy for LiFeP0_(4)/C battery.In order to improve the estimation accuracy of SOE,the influence of the thermal ene...The state of energy(SOE)is an important state parameter and evaluation index to indicate the residual energy for LiFeP0_(4)/C battery.In order to improve the estimation accuracy of SOE,the influence of the thermal energy inside the battery is researched by the electro-thermal energy model and an enhanced algorithm considering electrical energy and thermal energy is proposed to realize the accurate estimation of SOE.The novel estimation model is verified by lots of experiments that it's highly similar to the situation of actual energy consumption and has a high accuracy of SOE estimation.展开更多
基金This work is supported by the National High Technology Research and Development Program of China (863 Programs, GrantNo. 2007AA05Z224)Knowledge Innovation Project of Chinese Academy of Sciences(Grant No.KGCX2-YW-345)Zhejiang Scientific and Technological Project(Grant No.2009C3113004)
文摘A model free intelligent muhivariable fuzzy controller （MFC） designed for modulating the vapor compression cycles in a residential inverter-driven air conditioning is proposed. The novel controller combines a traditional fuzzy controller （TFC） and an additional coupling fuzzy controller, the coupling fuzzy controller is introduced to compensate for the unknown cross-coupling effects of this muhivariable system. In order to evaluate the control performance of the MFC, it is digitally implemented in terms of regulating the desired evaporating temperature and superheat. The experimental results show the effectiveness of the MFC for improvement of system performance and energy efficiency.
基金supported by National Natural Science Foundation of China(51477171)Foundation of Key Laboratory of Renewable Energy,Chinese Academy of Sciences(y407ja1001)Guangzhou Science and Technology Program(201509030005,201509010018)
文摘The state of energy(SOE)is an important state parameter and evaluation index to indicate the residual energy for LiFeP0_(4)/C battery.In order to improve the estimation accuracy of SOE,the influence of the thermal energy inside the battery is researched by the electro-thermal energy model and an enhanced algorithm considering electrical energy and thermal energy is proposed to realize the accurate estimation of SOE.The novel estimation model is verified by lots of experiments that it's highly similar to the situation of actual energy consumption and has a high accuracy of SOE estimation.
