HVAC distribution system identification

Automatic temperature and humidity regulation – Ventilator type – Electrically actuated

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Details

236 78D, 364165, 395 61, F24F 700, G05B 1302

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active

055799930

ABSTRACT:
A controller implemented in a heating, ventilation and air-conditioning (HVAC) distribution system provides improved control by implementing a general regression neural network to generate a control signal based on identified characteristics of components utilized within the HVAC system. The general regression neural network utilizes past characteristics and desired (calculated) characteristics to generate an output control signal. The general regression neural network is implemented in a feedforward process, which is combined with a feedback process to generate an improved control signal to control components within the HVAC distribution system. Implementation of the general regression neural network is simple and accurate, requires no input from an operator supervising the controller, and provides adaptive, real-time control of components within the HVAC distribution system.

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Thomas Hartman, Heating/Piping/Air Conditioning, "TRAV--A New HVAC Concept", Jul. 1989, pp. 69-73.
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Donald Specht, IEEE Transactions on Neural Networks, "A General Regression Neural Network", Nov. 1991, Vol. 2, No. 6, pp. 568-576.

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