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Liu, Xiong Fu; dexter, Arthur. Fuzzy model-based fault-tolerant control of air-conditioning systems. In: BUILDING SIMULATION, 6., 1999, Kyoto. Anais... Kyoto, 1999. p. 187-192.
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Abstract

The paper describes the development of a supervisory control scheme that adapts to the presence of degradation faults and minimises any resulting increase in energy consumption or deterioration in occupant comfort. Since there is a high degree of uncertainty associated with the results of any fault identification scheme in information-poor systems of this type, the supervisory control scheme uses fuzzy models to predict fuzzy measures of the overall performance and a fuzzy decision-maker to determine the most appropriate set-points. This fault-tolerant control scheme is being developed and evaluated using a detailed computer simulation of a multi-zone, variable-air-volume, air-conditioning system. The fuzzy models relate the performance of the air-handling unit and the chiller to the supply air and chilled water temperature set-points, and to fuzzy measures of the amount of air-side and water-side fouling. Results are presented that demonstrate the ability of the fuzzy models to predict the performance and show the effect of both water-side and air-side fouling on the performance. Problems associated with training the fuzzy models are also discussed.
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