Adaptive PID Control of Indoor Air Quality for an Air-Conditioned Room

Good indoor air quality (IAQ) can increase human comfort and productivity. An IAQ control method for an air-conditioned room based on a self-adaptive PID control theory is presented. Fuzzy algorithm is adopted in the study to adjust the three parameters of PID controller timely. Accordingly, this adaptive PID controller can be applied to the nonlinear controlled object- indoor CO₂ level which is an important index of IAQ and can be controlled by fresh air volume. Several simulation experiments are carried out in accordance with the actual conditions by changing controlled object characteristic and adding continuous disturbance to indoor CO₂ emission sources. The results show that the adaptive PID controller is more robust, gives faster dynamic response time and has better control performance, compared with a single PID or fuzzy controller.