An adaptive PI controller for room temperature control with level-crossing sampling

Event-based sampling allows saving energy in the sensor transmitter by avoiding unnecessary messages. One important application is room temperature control with wireless sensors. Optimizing the controller parameters of a PI controller for this application is a difficult task, because usually no process model is available and challenging issues like actuator saturation have to be taken into account. Adaptive controllers offer the possibility to tune themselves automatically. In this paper, an adaptive PI controller based on pattern recognition is proposed, designed for room temperature control, sensor energy efficiency, and level-crossing sampling. The implementation is much easier than that of most other adaptive controllers and robustness to disturbances and noise is high. The focus of this paper lies rather on the basic idea, simulations and practical issues than on theoretical investigations.