Experimental results of a predictive neural network HVAC controller
Conference
·
OSTI ID:687589
- Univ. of Colorado, Boulder, CO (United States)
- Architectural Energy Corp., Boulder, CO (United States)
Proportional, integral, and derivative (PID) control is widely used in many HVAC control processes and requires constant attention for optimal control. Artificial neural networks offer the potential for improved control of processes through predictive techniques. This paper introduces and shows experimental results of a predictive neural network (PNN) controller applied to an unstable hot water system in an air-handling unit. Actual laboratory testing of the PNN and PID controllers show favorable results for the PNN controller.
- OSTI ID:
- 687589
- Report Number(s):
- CONF-980650--
- Country of Publication:
- United States
- Language:
- English
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