Experimental validation of graph-based modeling for thermal fluid power flow systems

Justin P. Koeln, Matthew A. Williams, Herschel C. Pangborn, Andrew G. Alleyne

Research output: Chapter in Book/Report/Conference proceedingConference contribution

32 Scopus citations


Model-based control design has the ability to meet the strict closed-loop control requirements imposed by the rising performance and efficiency demands on modern engineering systems. While many modeling frameworks develop control-oriented models based on the underlying physics of the system, most are energy domain specific and do not facilitate the integration of models across energy domains or dynamic timescales. This paper presents a graph-based modeling framework, derived from the conservation of mass and energy, which captures the structure and interconnections in the system. Subsequently, these models can be used in model-based control frameworks for thermal management. This framework is energy-domain independent and inherently captures the exchange of power among different energy domains. A thermal fluid experimental system demonstrates the formulation of the graph-based models and the ability to capture the hydrodynamic and thermodynamic behaviors of a physical system.

Original languageEnglish (US)
Title of host publicationMechatronics; Mechatronics and Controls in Advanced Manufacturing; Modeling and Control of Automotive Systems and Combustion Engines; Modeling and Validation; Motion and Vibration Control Applications; Multi-Agent and Networked Systems; Path Planning and Motion Control; Robot Manipulators; Sensors and Actuators; Tracking Control Systems; Uncertain Systems and Robustness; Unmanned, Ground and Surface Robotics; Vehicle Dynamic Controls; Vehicle Dynamics and Traffic Control
PublisherAmerican Society of Mechanical Engineers
ISBN (Electronic)9780791850701
StatePublished - 2016
EventASME 2016 Dynamic Systems and Control Conference, DSCC 2016 - Minneapolis, United States
Duration: Oct 12 2016Oct 14 2016

Publication series

NameASME 2016 Dynamic Systems and Control Conference, DSCC 2016


OtherASME 2016 Dynamic Systems and Control Conference, DSCC 2016
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering


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