الفهرس 
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Abstract
The objective of this work is to synthesize a fuzzy-logic controller for the chilled¬water, fan-coil system. The controller is capable of handling unmodeled dynamics and uncertain loads with minimum energy and operating costs.
The physical and mathematical characteristics of the fan-coil system are modeled.
The control strategy comprises two antecedents and two consequents. The two antecedents are the deviations in both the room temperature and relative humidity from the desired values. The two consequents are the percentage of air passing through the coil and the inlet-water temperature to the coil. The fuzzification of the variables and the rule base are derived trom intuition and the fuzzy model of the process. The defuzzification of the control actions is based on the center-of sums method. A computer program has been developed for simulating the fuzzy controller. The feasibility of both the synthesized and the conventional proportional-control systems has been investigated in the presence of the uncertainty in both sensible and latent loads.
It has been found that the fuzzy logic controller is capable of adjusting the room temperature and relative humidity at the design value for all time which guarantees maximum human comfort. The results show that the fuzzy controller is more robust and less energy-consuming than the proportional controller. Moreover, the design of the fuzzy controller is simple and needs neither complex mathematical theories nor plant model.