Quantitative Robust Control of Temperature and Humidity in Hot-and-Dry Climates

In dry and hot weather, both temperature and humidity control should be adopted in buildings, industrial plants, and passenger cars. Because of the unsatisfactory performance of the available classical control system, a quantitative servo controller is synthesized in this paper. The proposed feedback controller is constructed by a state observer related to the plant and utilizing the measured room temperature and humidity as an input. The robustness properties of such a system to model error are discussed. The feasibility of both the synthesized and the conventional control systems are investigated in the presence of uncertainty in both the room internal loads and the outside load. The introduced controller is found capable of adjusting the room temperature and humidity at the design values for all time.