Development an Adaptive Incremental Fuzzy PI Controller for a HVAC System
Keywords:HVAC system, adaptive control, fuzzy logic control, PI control
This paper presents an adaptive incremental fuzzy PI controller (AIFPI)Â for a heating, ventilating, and air conditioning (HVAC) system capable of maintainingÂ comfortable conditions under varying thermal loads. The HVAC system has twoÂ subsystems and is used to control indoor temperature and humidity in a thermal zone.Â As the system has strong-coupling and non-linear characteristics, fixed PI controllersÂ have poor control performance and more energy consumption. Aiming to solve theÂ problem, fuzzy control and PI control are combined together organically. In theÂ proposed control scheme, the error of the system output and its derivative are takenÂ as two parameters necessary to adapt the proportional (P) and integral (I) gains ofÂ the PI controller based on fuzzy reasoning according to practical control experiences.Â To evaluate the effectiveness of the proposed control methods in the HVAC system, itÂ is compared with a fixed well-tuned PI controller. The results demonstrate that theÂ AIFPI controller has more superior performance than the latter.
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