Welcome to the Pangborn Advanced Controls Lab
We are a systems and control lab in the Mechanical Engineering Department at the Pennsylvania State University, directed by Assistant Professor Herschel C. Pangborn. Broadly speaking, we study the science of automated
decision-making in systems, optimizing the design and real-time operation (i.e., control) of systems with high societal relevance.
Our research enables new paradigms in the performance, safety, efficiency, and sustainability of energy systems in vehicles and buildings. Key to achieving this objective is our systems-level approach to control and design, which enables coordination across multiple components, timescales, and physical domains. The systems we study include electrified aircraft, hybrid automobiles, and thermal management systems in buildings and vehicles.
In addition to achieving our technological goals, we also train the next generation of engineers to address exigent challenges and opportunities in control theory, energy systems, and sustainability. This inspires our student-centric mentorship of undergraduate and graduate students in research and professional development. Our program is oriented around providing students with the experience and expertise to achieve their career goals following graduation.
Our systems-based approach intersects three areas:
The electrification of energy systems is a technological megatrend that has transformed buildings, aircraft, automobiles, and naval ships. With electrification, the ability to manage thermal and electro-thermal interactions within energy systems has increasingly become the limiting factor of their capabilities. The
modeling, design, and control approaches developed by our lab enable increased power/energy density and decreased operating costs, while bringing new paradigms in performance, safety, efficiency, and sustainability.
We employ a combination of physics-based and data-driven methods to capture energy system dynamics across a range of timescales and physical domains. In modeling energy systems, we focus on capturing the most salient dynamic behaviors while retaining a level of computational simplicity that allows models to be leveraged for system-level design and real-time feedback control.
Modern energy systems are often too complex for decision-making to be governed by a single, centralized controller. We develop hierarchical and distributed control frameworks that employ a network of communicating controllers
to coordinate decision-making across multiple components, timescales, and physical domains. Predictive control methods allow these frameworks to take proactive action in optimizing system behavior.
We also specialize in the control of systems that exhibit switched dynamic behavior and/or have actuators with discrete modes of operation. Contributions to control theory
establish guarantees on performance and safety, while closed-loop experimental application bridges the theory-practice gap. We also investigate systems-level design approaches to optimize architecture selection and component sizing for energy systems.
The PAC Lab welcomes Ph.D. student Jacob Siefert!
Dr. Pangborn is elected as Award Chair of the ASME DSCD Energy Systems Technical Committee.
The PAC Lab is seeking to hire a postdoctoral scholar for a multidisciplinary research project. More information is posted here.
The PAC Lab welcomes undergraduate researcher Jason Lord!
Dr. Pangborn is selected for the 2020 Air Force Research Lab Summer Faculty Fellowship Program (AFRL SFFP).
The paper and invited session proposal submitted by Dr. Pangborn to ACC 2020 have both been accepted.
The PAC Lab is founded at Penn State University.
Dr. Pangborn submits one paper to ACC 2020 and co-organizes an invited session proposal on energy management in vehicle systems.
Penn State News publishes a brief profile on Dr. Pangborn. You can read it here.
Dr. Pangborn's ACC 2019 paper, "Cooperativity and Hierarchical MPC of State-Constrained Switched Power Flow Systems," receives the ASME Energy Systems Technical Committee Best Paper Award from among 19 initial nominations and three finalists presented at the conference.