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An Introduction to Model Order Reduction

ME-EM Graduate Seminar Speaker Series

proudly presents:

Dr. Marcello Canova
Assistant Professor, Department of Mechanical and Aerospace Engineering
Associate Fellow, Center for Automotive Research
The Ohio State University

Abstract: With the advancements in internal combustion engines and powertrain technology, the automotive industry is seeking model-based control and optimization methods that exploit the physical consistency and high accuracy of first-principle models. This is especially true for downsized boosted engines, where the breathing and combustion processes are characterized by highly nonlinear behavior and interactions between many actuators and subsystems. On the other hand, the state of the art in engine and powertrain control design methods relies almost exclusively on heuristic, low-fidelity plant models that oversimplify the physical system, leading to high calibration efforts and a loss of fidelity that limits the potential benefits achievable from technology advancements.

This seminar introduces a novel framework that allows for direct synthesis of control-oriented models from first-principle models. The approach is based upon a projection-based Model Order Reduction (MOR) that analytically generates reduced order models from conservation laws in nonlinear Partial Differential Equation (PDE) form. This approach systematically transfers the accuracy and fidelity of physics-based models into low-order models suitable for control design, virtually eliminating the need for calibration.

The use of Model Order Reduction enables engineers to apply control and estimation methods to new classes of physical systems. Applications of the proposed approach will be illustrated for industry-relevant problems, such as the real-time simulation and estimation of wave action dynamics in the manifolds of downsized boosted IC engines.

Bio: Marcello Canova is Associate Professor in Mechanical Engineering and Associate Fellow of the Center for Automotive Research, at The Ohio State University. He earned his Diploma di Laurea “Summa Cum Laude” and his Ph.D. in Mechanical Engineering from the University of Parma (Italy) in 2002 and 2006, respectively.

Dr. Canova conducts research in the area of thermal sciences and energy systems, with emphasis on modeling, optimization and associated control problems. His research has been funded by, among others, Ford, General Motors, Fiat Chrysler Automobiles, Cummins, the National Science
Foundation, the US Department of Energy and ARPA-E.

Dr. Canova is a 2016 NSF CAREER Award recipient, and he has earned the Kappa Delta Distinguished Faculty Award (2011), the SAE Vincent Bendix Automotive Electronics Engineering Award (2011), the Lumley Interdisciplinary Research Award (2012), and the SAE Ralph Teetor Educational Award (2016). He has published over 120 articles in journals and confrence proceedings.