Files in this item



application/pdfPANGBORN-DISSERTATION-2019.pdf (14MB)
(no description provided)PDF


Title:Hierarchical control for multi-domain coordination of vehicle energy systems with switched dynamics
Author(s):Pangborn, Herschel C.
Director of Research:Alleyne, Andrew G.
Doctoral Committee Chair(s):Alleyne, Andrew G.
Doctoral Committee Member(s):Dullerud, Geir E.; Liberzon, Daniel M.; Beck, Carolyn L.; Wen, John T.
Department / Program:Mechanical Sci & Engineering
Discipline:Mechanical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Dynamic modeling
Physics-based modeling
Graph-based model
Hierarchical control
Model Predictive Control
Monotone system
Cooperative system
Energy management
Vehicle energy management
Thermal management
Electro-thermal system
Vehicle system
Aircraft energy system
Abstract:This dissertation presents a hierarchical control framework for vehicle energy management. As a result of increasing electrification, legacy integration and control approaches for vehicle energy systems have become limiting factors of performance and cannot accommodate the requirements of next-generation systems. Addressing this requires control frameworks that coordinate dynamics across multiple physical domains and timescales, enabling transformative improvements in capability, efficiency, and safety. To capture multi-domain storage and exchange of energy, a graph-based dynamic modeling approach is proposed and experimentally validated. This modeling approach is then leveraged for model-based control, in which the complex task of energy management is decomposed into a hierarchical network of model predictive controllers that coordinate decision-making across subsystems, physical domains, and timescales. The controllers govern both continuous and switched dynamic behaviors, addressing the hybrid nature of modern vehicle energy systems. The proposed hierarchical control framework is evaluated in application to a hardware-in-the-loop electro-thermal testbed representative of a scaled aircraft energy system, where it achieves significantly improved capability, efficiency, and safety as compared to legacy control approaches. Next, the structural information embedded in the graph-based modeling approach is shown to facilitate analysis. Closed-loop stability of decentralized MPC frameworks is guaranteed by analyzing the passivity of switched nonlinear graph-based systems and augmenting their controllers with a local passivity-based constraint. Lastly, a hierarchical control formulation guaranteeing satisfaction of state and input constraints for a class of switched graph-based systems is presented. This formulation is demonstrated in application to thermal management using both simulation and experimental implementation.
Issue Date:2019-04-16
Rights Information:Copyright 2019 Herschel Cyrus Pangborn
Date Available in IDEALS:2019-08-23
Date Deposited:2019-05

This item appears in the following Collection(s)

Item Statistics