Abstract

The performance of three adaptive controllers has been compared with experimental studies on a VVS-400 Heating/Ventilation System. The control algorithms are Generalized Predictive Control (GPC), an adaptive PID Controller (APC) based on Dahlin algorithm and the VVS-400 Heating/Ventilation System local controller—a Fuji PID auto-tuner. For the on-line identification module of the first two adaptive control algorithms, the recursive least-squares estimation technique is implemented. It is demonstrated that the two model-based approaches outperform the PID auto-tuner. Moreover, the adaptive PID controller compares favorably with a much more sophisticated GPC.

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