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

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

doi:10.1115/DSCC2016-9782

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 proceeding › Conference contribution

33 Scopus citations

Abstract

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 language	English (US)
Title of host publication	Mechatronics; 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
Publisher	American Society of Mechanical Engineers
ISBN (Electronic)	9780791850701
DOIs	https://doi.org/10.1115/DSCC2016-9782
State	Published - 2016
Externally published	Yes
Event	ASME 2016 Dynamic Systems and Control Conference, DSCC 2016 - Minneapolis, United States Duration: Oct 12 2016 → Oct 14 2016

Publication series

Name	ASME 2016 Dynamic Systems and Control Conference, DSCC 2016
Volume	2

Other

Other	ASME 2016 Dynamic Systems and Control Conference, DSCC 2016
Country/Territory	United States
City	Minneapolis
Period	10/12/16 → 10/14/16

Bibliographical note

Publisher Copyright:
Copyright © 2016 by ASME.

Publisher link

10.1115/DSCC2016-9782

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Koeln, J. P., Williams, M. A., Pangborn, H. C., & Alleyne, A. G. (2016). Experimental validation of graph-based modeling for thermal fluid power flow systems. In Mechatronics; 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 (ASME 2016 Dynamic Systems and Control Conference, DSCC 2016; Vol. 2). American Society of Mechanical Engineers. https://doi.org/10.1115/DSCC2016-9782

Experimental validation of graph-based modeling for thermal fluid power flow systems. / Koeln, Justin P.; Williams, Matthew A.; Pangborn, Herschel C. et al.
Mechatronics; 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. American Society of Mechanical Engineers, 2016. (ASME 2016 Dynamic Systems and Control Conference, DSCC 2016; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Koeln, JP, Williams, MA, Pangborn, HC & Alleyne, AG 2016, Experimental validation of graph-based modeling for thermal fluid power flow systems. in Mechatronics; 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. ASME 2016 Dynamic Systems and Control Conference, DSCC 2016, vol. 2, American Society of Mechanical Engineers, ASME 2016 Dynamic Systems and Control Conference, DSCC 2016, Minneapolis, United States, 10/12/16. https://doi.org/10.1115/DSCC2016-9782

Koeln JP, Williams MA, Pangborn HC, Alleyne AG. Experimental validation of graph-based modeling for thermal fluid power flow systems. In Mechatronics; 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. American Society of Mechanical Engineers. 2016. (ASME 2016 Dynamic Systems and Control Conference, DSCC 2016). doi: 10.1115/DSCC2016-9782

Koeln, Justin P. ; Williams, Matthew A. ; Pangborn, Herschel C. et al. / Experimental validation of graph-based modeling for thermal fluid power flow systems. Mechatronics; 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. American Society of Mechanical Engineers, 2016. (ASME 2016 Dynamic Systems and Control Conference, DSCC 2016).

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

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