Indoor Thermal Comfort Control Research Based on Adaptive Fuzzy Strategy

An adaptive fuzzy control strategy is presented for a comfort air-conditioning system concerning energy performance and indoor thermal comfort requirements. Predicted Mean Vote (PMV) index was incorporated into the control strategy to assess thermal comfort level. The non-linear and time-varying plant is identified by using fuzzy model; And the fuzzy controller is designed on the basis of inversion of plant fuzzy model. Both the plant identification and controller design proceed automatically in real time, thus adapting the control system to the changing plant characteristics and ambient disturbances. The experiment results indicate that the proposed techniques have better adaptiveness and robustness than conventional PID control scheme and thus improve the indoor thermal comfort while saving energy considerably.