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Proceedings Papers

Parametric Modeling and Optimal Control of a Combined Heating and Power System With Energy Storage

Claudia Lucia De Pascalis, Stephanie Stockar
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, V001T09A002, October 5–7, 2020
Paper No: DSCC2020-3184
DOI: https://doi.org/10.1115/DSCC2020-3184
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Topics: Dynamic programming, Energy storage, Heating, Modeling, Optimal control, Power systems (Machinery), Energy management, Optimization, Thermal energy storage, Cogeneration systems
Proceedings Papers

Power Management for a Fuel Cell/Battery/Supercapacitor Hybrid Locomotive

Qishen Zhao, Tianheng Feng, Dongmei Chen, Wei Li
Proc. ASME. DSCC2020, Volume 2: Intelligent Transportation/Vehicles; Manufacturing; Mechatronics; Engine/After-Treatment Systems; Soft Actuators/Manipulators; Modeling/Validation; Motion/Vibration Control Applications; Multi-Agent/Networked Systems; Path Planning/Motion Control; Renewable/Smart Energy Systems; Security/Privacy of Cyber-Physical Systems; Sensors/Actuators; Tracking Control Systems; Unmanned Ground/Aerial Vehicles; Vehicle Dynamics, Estimation, Control; Vibration/Control Systems; Vibrations, V002T32A002, October 5–7, 2020
Paper No: DSCC2020-3325
DOI: https://doi.org/10.1115/DSCC2020-3325
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Topics: Batteries, Dynamic programming, Fuel cells, Locomotives, Ultracapacitors, Cycles, Dynamics (Mechanics), Hydrogen, Proton exchange membrane fuel cells, Simulation results
Proceedings Papers

Control Design for Automated Vehicle Emergency Safe Stop System Based on Differential Dynamic Programming

Lisheng Yang, Tomonari Furukawa, Lei Zuo, Zachary Doerzaph
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, V001T02A006, October 5–7, 2020
Paper No: DSCC2020-3286
DOI: https://doi.org/10.1115/DSCC2020-3286
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Topics: Autonomous vehicles, Design, Dynamic programming, Emergencies, Computation, Control algorithms, Delays, Errors, Modeling, Real-time control
Proceedings Papers

Optimal Transient Real-Time Engine-Generator Control in the Series-Hybrid Vehicle

Jonathan Lock, Rickard Arvidsson, Tomas McKelvey
Proc. ASME. DSCC2019, Volume 2: Modeling and Control of Engine and Aftertreatment Systems; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Validation; Motion Planning and Tracking Control; Multi-Agent and Networked Systems; Renewable and Smart Energy Systems; Thermal Energy Systems; Uncertain Systems and Robustness; Unmanned Ground and Aerial Vehicles; Vehicle Dynamics and Stability; Vibrations: Modeling, Analysis, and Control, V002T12A001, October 8–11, 2019
Paper No: DSCC2019-8964
DOI: https://doi.org/10.1115/DSCC2019-8964
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Topics: Engines, Generators, Transients (Dynamics), Vehicles, Control equipment, Fuel consumption, Optimal control, Real-time control, Approximation, Dynamic programming
Proceedings Papers

Sub-Optimal Tracking in Switched Systems With Controlled Subsystems and Fixed-Mode Sequence Using Approximate Dynamic Programming

Tohid Sardarmehni, Xingyong Song
Proc. ASME. DSCC2019, Volume 3, Rapid Fire Interactive Presentations: Advances in Control Systems; Advances in Robotics and Mechatronics; Automotive and Transportation Systems; Motion Planning and Trajectory Tracking; Soft Mechatronic Actuators and Sensors; Unmanned Ground and Aerial Vehicles, V003T19A011, October 8–11, 2019
Paper No: DSCC2019-9216
DOI: https://doi.org/10.1115/DSCC2019-9216
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Topics: Dynamic programming, Dynamics (Mechanics), Feedback, Signals, Simulation results
Proceedings Papers

Sub-Optimal Control of Autonomous Wheel Loader With Approximate Dynamic Programming

Tohid Sardarmehni, Xingyong Song
Proc. ASME. DSCC2019, Volume 3, Rapid Fire Interactive Presentations: Advances in Control Systems; Advances in Robotics and Mechatronics; Automotive and Transportation Systems; Motion Planning and Trajectory Tracking; Soft Mechatronic Actuators and Sensors; Unmanned Ground and Aerial Vehicles, V003T21A012, October 8–11, 2019
Paper No: DSCC2019-9248
DOI: https://doi.org/10.1115/DSCC2019-9248
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Topics: Cycles, Dynamic programming, Optimal control, Wheels
Proceedings Papers

Optimal Exhaust Valve Opening Control for Fast Aftertreatment Warm Up in Diesel Engines

Rasoul Salehi, Anna G. Stefanopoulou
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, V002T26A003, September 30–October 3, 2018
Paper No: DSCC2018-9178
DOI: https://doi.org/10.1115/DSCC2018-9178
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Topics: Diesel engines, Exhaust systems, Valves, Temperature, Catalysts, Engines, Fuel consumption, Optimization, Stress, Dynamic programming
Proceedings Papers

Optimization of Energy-Efficient Speed Profile for Electrified Vehicles

Hadi Abbas, Youngki Kim, Jason B. Siegel, Denise M. Rizzo
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, V002T15A006, September 30–October 3, 2018
Paper No: DSCC2018-9138
DOI: https://doi.org/10.1115/DSCC2018-9138
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Topics: Optimization, Vehicles, Energy consumption, Roads, Braking, Cycles, Dynamic programming, Military systems, Propulsion, Robots
Proceedings Papers

Optimal Energy Management in a Range Extender PHEV Using a Cascaded Dynamic Programming Approach

Pradeep Sharma Oruganti, Daniel Jung, Mukilan Arasu, Qadeer Ahmed, Giorgio Rizzoni
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, V002T27A003, September 30–October 3, 2018
Paper No: DSCC2018-9043
DOI: https://doi.org/10.1115/DSCC2018-9043
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Topics: Dynamic programming, Energy management, Hybrid electric vehicles, Batteries, Computation, Engines, Vehicles
Proceedings Papers

Optimal Switching of Voltage Source Inverters Using Approximate Dynamic Programming

Ataollah Gogani Khiabani, Ali Heydari
Proc. ASME. DSCC2018, Volume 1: Advances in Control Design Methods; Advances in Nonlinear Control; Advances in Robotics; Assistive and Rehabilitation Robotics; Automotive Dynamics and Emerging Powertrain Technologies; Automotive Systems; Bio Engineering Applications; Bio-Mechatronics and Physical Human Robot Interaction; Biomedical and Neural Systems; Biomedical and Neural Systems Modeling, Diagnostics, and Healthcare, V001T01A006, September 30–October 3, 2018
Paper No: DSCC2018-8998
DOI: https://doi.org/10.1115/DSCC2018-8998
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Topics: Dynamic programming, Control equipment, Engineering simulation, Feedback, Robustness, Simulation, Stress, Uncertainty
Proceedings Papers

Stochastic Policies for Online Computation Triggering in Powertrain Control

Kuan Liu, Yue Yun Wang, Ibrahim Haskara, Chen-Fang Chang, Anouck Girard, Ilya Kolmanovsky
Proc. ASME. DSCC2018, Volume 1: Advances in Control Design Methods; Advances in Nonlinear Control; Advances in Robotics; Assistive and Rehabilitation Robotics; Automotive Dynamics and Emerging Powertrain Technologies; Automotive Systems; Bio Engineering Applications; Bio-Mechatronics and Physical Human Robot Interaction; Biomedical and Neural Systems; Biomedical and Neural Systems Modeling, Diagnostics, and Healthcare, V001T01A007, September 30–October 3, 2018
Paper No: DSCC2018-9045
DOI: https://doi.org/10.1115/DSCC2018-9045
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Topics: Computation, Algorithms, Automobiles, Cyber-physical systems, Diesel engines, Dynamic programming, Optimal control, Pendulums, Pressing, Spark-ignition engine
Proceedings Papers

Average Reward Dynamic Programming Applied to a Persistent Visitation and Data Delivery Problem

Krishna Kalyanam, Meir Pachter, David Casbeer
Proc. ASME. DSCC2017, Volume 3: Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems; Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems, V003T39A002, October 11–13, 2017
Paper No: DSCC2017-5115
DOI: https://doi.org/10.1115/DSCC2017-5115
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Topics: Dynamic programming, Cycles, Delays, Unmanned aerial vehicles, Collapse, Data collection, Linear programming, Surveillance, Weight (Mass)
Proceedings Papers

Analysis of Effects of Fuel Cell System Dynamics on Optimal Energy Management

Kai Wu, Ming Kuang, Milos Milacic, Xiaowu Zhang, Jing Sun
Proc. ASME. DSCC2017, Volume 3: Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems; Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems, V003T43A001, October 11–13, 2017
Paper No: DSCC2017-5139
DOI: https://doi.org/10.1115/DSCC2017-5139
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Topics: Energy management, Fuel cells, System dynamics, Dynamics (Mechanics), Corporate average fuel economy, Fuel efficiency, Proton exchange membrane fuel cells, Stress, Batteries, Cycles
Proceedings Papers

A Stochastic Approach to the Convex Optimization of Non-Convex Discrete Energy Systems

Eric M. Burger, Scott J. Moura
Proc. ASME. DSCC2017, Volume 3: Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems; Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems, V003T43A005, October 11–13, 2017
Paper No: DSCC2017-5316
DOI: https://doi.org/10.1115/DSCC2017-5316
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Topics: Energy / power systems, Optimization, Discrete systems, Dynamic programming, Electric vehicles, Fans, Hardware, Power systems (Machinery), Trajectories (Physics), Ventilation
Proceedings Papers

Dynamic Optimization of Diesel Air-Path Control for Reduced Pumping Work

Thomas A. Brewbaker, Michiel van Nieuwstadt
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, V002T20A001, October 12–14, 2016
Paper No: DSCC2016-9676
DOI: https://doi.org/10.1115/DSCC2016-9676
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Topics: Control equipment, Cycles, Diesel, Diesel engines, Dynamic programming, Engines, Errors, Exhaust gas recirculation, Fuel consumption, Geometry
Proceedings Papers

Real-Time Powertrain Optimization Strategy for Connected Hybrid Electrical Vehicle

Mohd Azrin Mohd Zulkefli, Zongxuan Sun
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, V002T20A006, October 12–14, 2016
Paper No: DSCC2016-9727
DOI: https://doi.org/10.1115/DSCC2016-9727
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Topics: Electric vehicles, Optimization, Fuel efficiency, Traffic, Vehicles, Computation, Computer programming, Connected vehicles, Dimensions, Dynamic programming
Proceedings Papers

Assessing Fuel Economy From Automated Driving: Influence of Preview and Velocity Constraints

Niket Prakash, Gionata Cimini, Anna G. Stefanopoulou, Matthew J. Brusstar
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, V002T19A001, October 12–14, 2016
Paper No: DSCC2016-9780
DOI: https://doi.org/10.1115/DSCC2016-9780
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Topics: Corporate average fuel economy, Fuel efficiency, Vehicles, Cycles, Errors, Trajectories (Physics), Algorithms, Dynamic programming, Flow (Dynamics), Fuel consumption
Proceedings Papers

Air Compression Performance Improvement via Trajectory Optimization: Experimental Validation

Mohsen Saadat, Anirudh Srivatsa, Perry Y. Li, Terrence Simon
Proc. ASME. DSCC2016, Volume 1: Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation, V001T04A005, October 12–14, 2016
Paper No: DSCC2016-9825
DOI: https://doi.org/10.1115/DSCC2016-9825
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Topics: Compression, Optimization, Trajectories (Physics), High pressure (Physics), Power density, Air compressors, Engineering simulation, Pistons, Simulation, Tradeoffs
Proceedings Papers

Energy Cost Optimization of HVAC Loads Under Time-Varying Electricity Price Signals

Saeid Bashash
Proc. ASME. DSCC2016, Volume 1: Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation, V001T15A003, October 12–14, 2016
Paper No: DSCC2016-9800
DOI: https://doi.org/10.1115/DSCC2016-9800
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Topics: HVAC equipment, Optimization, Signals, Stress, Temperature, Dynamic programming, Air conditioning, Differential equations, Energy generation, Energy management
Proceedings Papers

Design and Control Framework for Selecting Wind Turbine Gear Ratios Based on Optimal Power Generation and Blade Stress

Amrita Lall, Hamid Khakpour Nejadkhaki, John Hall
Proc. ASME. DSCC2016, Volume 1: Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation, V001T04A001, October 12–14, 2016
Paper No: DSCC2016-9716
DOI: https://doi.org/10.1115/DSCC2016-9716
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Topics: Blades, Design, Energy generation, Gears, Stress, Wind turbines, Simulation, Wind, Boundary element methods, Control algorithms