Modeling Physical Systems in Teaching - Technology and Didactics

Modeling dynamical systems is an integral part of engineering and science degree curricula. The mass-spring-damper system is one of the prime examples students work with starting in their first year.

In this webinar, we demonstrate different modeling approaches and philosophies with the help of the rotating pendulum. We start with symbolic, textual modeling in MATLAB and work our way to advanced physical modeling techniques using Simscape/SimMechanics. We show how the first approach nicely replicates traditional pen-on-paper calculations taught in freshman courses, and how the physical modeling environment allows for analyzing complex systems encountered in higher-level courses. We will compare the two modeling approaches with respect modeling complexity and accessibility and create animations as an effective means to verification.

About the Presenters

Mischa Kim holds a MS in Physics from Vienna University of Technology (TU Wien) and a Ph.D. in Aerospace Engineering from Virginia Tech. After graduating Mischa joined the faculty at Embry-Riddle Aeronautical University to pursue his research interests in spacecraft dynamics and controls and space systems engineering. Following a two-year stint at the German Aerospace Center (DLR) he joined MathWorks in 2012 as a Senior Technical Evangelist supporting academics in using the MathWorks tool chain in research and—in particular—in teaching.

Sebastian Malack is a technical consultant who specializes in control systems design and automation, as well as in physical modeling of multi-domain systems. He helps organizations apply Model-Based Design to a wide range of applications to tighten their development process and increase productivity and performance. Prior to joining MathWorks, Sebastian worked in the automotive industry, focusing on car access systems and bus system management for combustion and electrical engines. He holds a Dipl.-Ing./M.Eng. in Aerospace Engineering from the University of Technology, Munich.