Fitting method for hybrid temperature control in smart home environment

The design of control system is crucial for improving the comfort level of home environment. Cyber-Physical Systems (CPSs) can offer numerous opportunities to design high efficient control systems. In this paper, we focus on the design of temperature control systems. By using the idea of CPS, a hybrid temperature control (HTC) system is proposed. It combines supervisory and proportional-integral-derivative (PID) controllers. Through an energy efficient temperature control (EETC) algorithm, HTC system enables to monitor and maintain the room temperature in the desired interval with three actuators: air-conditioner, window and curtain. As the tight integration of physical and cyber worlds, the sensing accuracy of physical platform has significant impact on the performance of HTC system. Through simulations and field experiments, the relationship between control performance and sensing accuracy is captured. A fitting function method is proposed to improve the sensing accuracy without increasing monetary cost of the system implementation. By using this method, the performance of HTC system can be increased obviously.