Fuzzy control model and simulation of supply air system in a test rig of low-temperature hot-water radiator system

This paper proposes a typical multi-variable, large time delay and nonlinear system, self-extracting rules fuzzy control (SERFC) method to maintain a stable temperature value in a built environment chamber with supply air system and hot-water system. The parameters of the transfer functions in every control loop were identified by experimental data in a format of time sequences obtained from the experiment of dynamical responding performance. Fuzzy control simulations were implemented based on adjustment of the supply air system and hot-water system by SERFC. The simulation results show that SERFC for environment chamber has satisfied performance. There is no higher overshoot and stable error. The work presented in here can be used to deal with those complex thermal processes with difficulties in modeling of fuzzy control rules and provide a foundation for further application of fuzzy control in HVAC system.