Fuzzy Sliding Mode Multivariable Control for Indoor Environment in Intelligent Buildings

• Main Authors: Wang, Yi-Hua, 王奕驊
• Other Authors: Liu, Tzong-Shi
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/77022681570753177319

碩士 === 國立交通大學 === 機械工程系所 === 102 === In 1980s, methods of automatic control began to be applied to the building energy. The building energy control encompasses many parts, including the lighting control, the temperature control, the air-conditioning control, the security control, etc. The auto-controlling building system was focused on the interactions between the building and the users, and also on the energy-consuming of building. This thesis aims to design a new air-conditioning system utilizing variable ventilation rate to control the carbon dioxide concentration below government regulation at 1000ppm. This study also takes into account the heat load by ventilation, keeping the indoor temperature on a smooth level. The system includes carbon dioxide concentration and indoor temperature two input variables. Output variables are the ventilation rate and air conditioning cooling capacity. This study uses carbon dioxide sensor and thermometer to control carbon dioxide concentration and indoor temperature by using closed-loop fuzzy sliding mode control. The indoor temperature part uses fuzzy sliding mode control. Without considering the outdoor ventilation and the number of residents, indoor temperature can not be controlled to reach target temperatures. It improves obviously when the controller consider the heat load caused by outdoor ventilation and residents. The chattering is improved by fuzzy sliding mode control. Dealing with indoor carbon dioxide concentration, this study also simulated three different settings from ASHRAE Standard 62.1. The dynamically reset outdoor air intake rate adjusts outdoor ventilation rate according to indoor carbon dioxide concentration and results in energy saving.