Occupant-Location-Catered Control of IoT-Enabled Building HVAC Systems

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Abstract
This article studies about the catered controls for building heating-ventilation-air-conditioning (HVAC) systems, which react to the changing location of an occupant. A Markov jump-linear system model is developed which captures the building's thermal processes, HVAC system, occupant movement, and proposed proportional-integral-derivative feedback. A statistical analysis of the closed-loop dynamics is used to confirm moment boundedness and tune the control gains to improve temperature regularity with limited actuation, in the face of disturbances. The control strategy is demonstrated in an example.
Funding Information
  • United States National Science Foundation (CNS-1545104, CMMI-1635184)

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