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Proceedings Papers

Optimal Control and Energy Management in Hybrid Turbojet Engines

Hanz Richter, Joseph W. Connolly, Donald L. Simon
Proc. ASME. DSCC2020, Volume 1: Adaptive/Intelligent Sys. Control; Driver Assistance/Autonomous Tech.; Control Design Methods; Nonlinear Control; Robotics; Assistive/Rehabilitation Devices; Biomedical/Neural Systems; Building Energy Systems; Connected Vehicle Systems; Control/Estimation of Energy Systems; Control Apps.; Smart Buildings/Microgrids; Education; Human-Robot Systems; Soft Mechatronics/Robotic Components/Systems; Energy/Power Systems; Energy Storage; Estimation/Identification; Vehicle Efficiency/Emissions, V001T19A004, October 5–7, 2020
Paper No: DSCC2020-3182
DOI: https://doi.org/10.1115/DSCC2020-3182
View Paper titled, Optimal Control and Energy Management in Hybrid Turbojet Engines
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Topics: Energy management, Engines, Optimal control, Turbojets, Fuels, Torque, Weight (Mass), Aircraft engines, Control equipment, Design
Proceedings Papers

Second Law Modeling and Robust Control for Thermal-Fluid Systems

Austin L. Nash, Neera Jain
Proc. ASME. DSCC2018, Volume 2: Control and Optimization of Connected and Automated Ground Vehicles; Dynamic Systems and Control Education; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Energy Systems; Estimation and Identification; Intelligent Transportation and Vehicles; Manufacturing; Mechatronics; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Control of IC Engines and Powertrain Systems; Modeling and Management of Power Systems, V002T28A002, September 30–October 3, 2018
Paper No: DSCC2018-9056
DOI: https://doi.org/10.1115/DSCC2018-9056
View Paper titled, Second Law Modeling and Robust Control for Thermal-Fluid Systems
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Topics: Modeling, Robust control, Thermofluids, Entropy, Design, Transients (Dynamics), Control equipment, Dynamic models, Energy conversion, State feedback
Proceedings Papers

A Model Predictive Control Law for a Vapor Compression Cycle System

Anhtuan D. Ngo, Joshua R. Cory
Proc. ASME. DSCC2016, Volume 2: 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, V002T27A003, October 12–14, 2016
Paper No: DSCC2016-9769
DOI: https://doi.org/10.1115/DSCC2016-9769
View Paper titled, A Model Predictive Control Law for a Vapor Compression Cycle System
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Topics: Compression, Cycles, Predictive control, Vapors, Thermal systems, Control equipment, Stress, Transients (Dynamics), Aircraft, Cooling
Proceedings Papers

Online Prognostics for Fuel Thermal Management System

Martin P. DeSimio, Brandon M. Hencey, Adam C. Parry
Proc. ASME. DSCC2015, Volume 1: Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2: Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems, V001T08A003, October 28–30, 2015
Paper No: DSCC2015-9842
DOI: https://doi.org/10.1115/DSCC2015-9842
View Paper titled, Online Prognostics for Fuel Thermal Management System
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Topics: Fuels, Thermal management, Aircraft, Thermal systems, Directed-energy weapons, Flight, Integrated systems, Uncertainty, Weight (Mass)
Proceedings Papers

Hierarchical Control of Multi-Domain Power Flow in Mobile Systems: Part II — Aircraft Application

Matthew A. Williams, Justin P. Koeln, Andrew G. Alleyne
Proc. ASME. DSCC2015, Volume 1: Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2: Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems, V001T08A005, October 28–30, 2015
Paper No: DSCC2015-9904
DOI: https://doi.org/10.1115/DSCC2015-9904
View Paper titled, Hierarchical Control of Multi-Domain Power Flow in Mobile Systems: Part II — Aircraft Application
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Topics: Aircraft, Flow (Dynamics), Dynamics (Mechanics), Engines, Fuel storage, Heat, Heat exchangers, Modeling, Power systems (Machinery), Simulation results
Proceedings Papers

Hierarchical Control of Multi-Domain Power Flow in Mobile Systems: Part I — Framework Development and Demonstration

Justin P. Koeln, Matthew A. Williams, Andrew G. Alleyne
Proc. ASME. DSCC2015, Volume 1: Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2: Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems, V001T08A006, October 28–30, 2015
Paper No: DSCC2015-9908
DOI: https://doi.org/10.1115/DSCC2015-9908
View Paper titled, Hierarchical Control of Multi-Domain Power Flow in Mobile Systems: Part I — Framework Development and Demonstration
Click here to open pdf in another window PDF for Hierarchical Control of Multi-Domain Power Flow in Mobile Systems: Part I — Framework Development and Demonstration
Topics: Flow (Dynamics), Vehicles, Dynamics (Mechanics), Separation (Technology), Aircraft, Control equipment, Model development, Modeling, Simulation results, Thermal systems
Proceedings Papers

Energy Equipartition Control for Geospatial Cyber-Physical Network Systems

Xianlin Zeng, Qing Hui
Proc. ASME. DSCC2014, Volume 3: Industrial Applications; Modeling for Oil and Gas, Control and Validation, Estimation, and Control of Automotive Systems; Multi-Agent and Networked Systems; Control System Design; Physical Human-Robot Interaction; Rehabilitation Robotics; Sensing and Actuation for Control; Biomedical Systems; Time Delay Systems and Stability; Unmanned Ground and Surface Robotics; Vehicle Motion Controls; Vibration Analysis and Isolation; Vibration and Control for Energy Harvesting; Wind Energy, V003T40A001, October 22–24, 2014
Paper No: DSCC2014-5944
DOI: https://doi.org/10.1115/DSCC2014-5944
View Paper titled, Energy Equipartition Control for Geospatial Cyber-Physical Network Systems
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Topics: Architecture, Control equipment, Energy transformation, Hybrid control, Simulation, Thermal systems
Proceedings Papers

Maximum Power Estimation of Lithium-Ion Batteries Accounting for Thermal and Electrical Constraints

Youngki Kim, Shankar Mohan, Jason B. Siegel, Anna G. Stefanopoulou
Proc. ASME. DSCC2013, Volume 2: Control, Monitoring, and Energy Harvesting of Vibratory Systems; Cooperative and Networked Control; Delay Systems; Dynamical Modeling and Diagnostics in Biomedical Systems; Estimation and Id of Energy Systems; Fault Detection; Flow and Thermal Systems; Haptics and Hand Motion; Human Assistive Systems and Wearable Robots; Instrumentation and Characterization in Bio-Systems; Intelligent Transportation Systems; Linear Systems and Robust Control; Marine Vehicles; Nonholonomic Systems, V002T23A003, October 21–23, 2013
Paper No: DSCC2013-3935
DOI: https://doi.org/10.1115/DSCC2013-3935
View Paper titled, Maximum Power Estimation of Lithium-Ion Batteries Accounting for Thermal and Electrical Constraints
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Topics: Accounting, Lithium-ion batteries, Currents, Temperature, Algebra, Algorithms, Batteries, Engineering simulation, Separation (Technology), Simulation
Proceedings Papers

Controllability and Observability of a Large Scale Thermodynamical System via Connectability Approach

Virdiansyah Permana, Rahmat Shoureshi
Proc. ASME. DSCC2010, ASME 2010 Dynamic Systems and Control Conference, Volume 2, 217-224, September 12–15, 2010
Paper No: DSCC2010-4265
DOI: https://doi.org/10.1115/DSCC2010-4265
View Paper titled, Controllability and Observability of a Large Scale Thermodynamical System via Connectability Approach
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Topics: Lie algebras, Nonlinear systems, Thermal systems
Proceedings Papers

Connectability-Based Controllability of Large Scale Nonlinear Dynamic Thermal Systems

Rahmat Shoureshi, Virdi Permana
Proc. ASME. DSCC2009, ASME 2009 Dynamic Systems and Control Conference, Volume 2, 541-548, October 12–14, 2009
Paper No: DSCC2009-2783
DOI: https://doi.org/10.1115/DSCC2009-2783
View Paper titled, Connectability-Based Controllability of Large Scale Nonlinear Dynamic Thermal Systems
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Topics: Thermal systems, Lie algebras, Nonlinear systems, Heat exchangers
Proceedings Papers

A Hydraulic Actuated Automotive Thermal Management System: Theory and Experiment

Peyton Frick, John Wagner, Parikshit Mehta
Proc. ASME. DSCC2008, ASME 2008 Dynamic Systems and Control Conference, Parts A and B, 131-138, October 20–22, 2008
Paper No: DSCC2008-2117
DOI: https://doi.org/10.1115/DSCC2008-2117
View Paper titled, A Hydraulic Actuated Automotive Thermal Management System: Theory and Experiment
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Topics: Systems theory, Thermal management, Cooling systems, Pumps, Computers, Engines, Water, Coolants, Cooling, Dynamic models