Adaptive HVAC for Unknown Deployment
January 1, 2024
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1 min read
A data-driven approach to HVAC control for environments with unknown thermal characteristics.
- Created a heat transfer model of a standard office/warehouse environment equipped with an HVAC system
- Embedded physical information of a general environment into ARX for model identification
- Gradient descent was used to optimize a PID controller to regulate the internal temperature
Authors
Graduate Researcher
Doctoral student at the University of Colorado Boulder, Smead Department of Aerospace Engineering Sciences. Research in differential game theory, safe multi-agent systems, and computational astrodynamics — with a focus on algorithms that are tractable enough to run onboard while providing formal guarantees.