Neural-network-based identifier/controller for modern HVAC control

Albert T P So, Tin T. Chow, Wai Lok Chan, W. L. Tse

Research output: Journal article publicationConference articleAcademic researchpeer-review

37 Citations (Scopus)

Abstract

This paper reports the application of an artificial neural network (ANN) to serve both as a system identifier and as an intelligent controller for an air-handling system. A comprehensive software model has been established based on the specifications of a standard air-handling unit (AHU) on the market. The model is appropriate for testing various control algorithms including our new ANN identifier/controller. The ANN behaves as an identifier by continuously keeping track of all the real-time parameters associated with the whole air-handling system. Five actuating signals are produced based on the nonlinear error optimization of the outputs of the ANN, now served as a controller. The control target involves the minimization of two weighted factors - the errors between setpoints and control variables and the total energy consumption. The excellent performance of the ANN identifier/controller is illustrated by comparing it with that of a conventional proportional-integral-derivative (PID) controller.
Original languageEnglish
Pages (from-to)14-31
Number of pages18
JournalASHRAE Transactions
Volume101
Issue numberPt 2
Publication statusPublished - 1 Dec 1995
Externally publishedYes
EventProceedings of the 1995 ASHRAE Annual Meeting - San Diego, CA, United States
Duration: 24 Jun 199528 Jun 1995

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes

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