HVAC (heating, venting, and air conditioning) system fault diagnosis and energy optimization using state-space mehods and modern control theory.

P. B. Usoro, Shahriar Negahdaripour, I. C. Schick, R. Nadira, W. E. Larimore

Research output: Contribution to journalArticle

Abstract

The report addresses the fault detection, diagnosis and control of heating, venting and air conditioning (HVAC) systems. The problems associated with the effective operation of HVAC systems were identified and a hierarchical framework for the operation of the system was formulated. A modern multivariable control approach, model algorithmic control, was found to be a suitable approach for integrating the different hierarchies in the operation of the system. A methodology for detecting and diagnosing faults in the system using a nonlinear mathematical model of the system plus extended Kalman filtering was developed. This technique was implemented in a computer program and successfully used to detect planted faults in the air handling unit of the HVAC system.

Original languageEnglish (US)
Journal[No source information available]
StatePublished - Jan 1 1984
Externally publishedYes

Fingerprint

Air Conditioning
venting
air conditioning
control theory
conditioning
Control theory
Air conditioning
Heating
Failure analysis
optimization
heating
multivariable control
fault detection
Nonlinear Dynamics
Fault detection
hierarchies
energy
Computer program listings
mathematical models
Theoretical Models

ASJC Scopus subject areas

  • Engineering(all)

Cite this

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abstract = "The report addresses the fault detection, diagnosis and control of heating, venting and air conditioning (HVAC) systems. The problems associated with the effective operation of HVAC systems were identified and a hierarchical framework for the operation of the system was formulated. A modern multivariable control approach, model algorithmic control, was found to be a suitable approach for integrating the different hierarchies in the operation of the system. A methodology for detecting and diagnosing faults in the system using a nonlinear mathematical model of the system plus extended Kalman filtering was developed. This technique was implemented in a computer program and successfully used to detect planted faults in the air handling unit of the HVAC system.",
author = "Usoro, {P. B.} and Shahriar Negahdaripour and Schick, {I. C.} and R. Nadira and Larimore, {W. E.}",
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AU - Usoro, P. B.

AU - Negahdaripour, Shahriar

AU - Schick, I. C.

AU - Nadira, R.

AU - Larimore, W. E.

PY - 1984/1/1

Y1 - 1984/1/1

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AB - The report addresses the fault detection, diagnosis and control of heating, venting and air conditioning (HVAC) systems. The problems associated with the effective operation of HVAC systems were identified and a hierarchical framework for the operation of the system was formulated. A modern multivariable control approach, model algorithmic control, was found to be a suitable approach for integrating the different hierarchies in the operation of the system. A methodology for detecting and diagnosing faults in the system using a nonlinear mathematical model of the system plus extended Kalman filtering was developed. This technique was implemented in a computer program and successfully used to detect planted faults in the air handling unit of the HVAC system.

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