Intelligent PID controller based on fuzzy logic control and neural network technology for indoor environment quality improvement
Song, Yang (2014) Intelligent PID controller based on fuzzy logic control and neural network technology for indoor environment quality improvement. PhD thesis, University of Nottingham.
The demand for better indoor environment has led to a wide use of heating, ventilating and air conditioning (HVAC) systems. Employing advanced HVAC control strategies is one of the strategies to maintain high quality indoor thermal comfort and indoor air quality (IAQ). This thesis aims to analyse and discuss the potential of using advanced control methods to improve the indoor occupants’ comfort. It focuses on the development of controllers of the major factors of indoor environment quality in buildings including indoor air temperature, indoor humidity and indoor air quality.
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