Teaching Digital Twins in Process Control Using the Temperature Control Lab
Process control can be one of the most exciting and engaging chemical engineering undergraduate courses! This paper describes our experience transforming Chemical Process Control into Data Analytics, Optimization, and Control at the University of Notre Dame (second semester required course in the junior year). Our modern course is built around six hands-on experiments in which students practice data-centric modeling and analysis using the Arduino-based Temperature Control Lab (TCLab) hardware. We argue that state-space dynamic modeling and optimization are more critical for educating modern chemical engineers than topics such as frequency domain analysis and controller synthesis emphasized in many classical undergraduate control courses. All the course material is available online at https://ndcbe.github.io/controls.
Authors
- Alexander W. Dowling (ORCID: https://orcid.org/0000-0001-9383-7499)
- Madelynn J. Watson (ORCID: https://orcid.org/0000-0002-2600-5067)
- Molly Dougher (ORCID: https://orcid.org/0000-0003-1567-7084)
- Daniel J. Laky (ORCID: https://orcid.org/0000-0002-3917-8039)
- Hailey G. Lynch
- Zhicheng Lü (ORCID: https://orcid.org/0000-0002-9956-9517)
Institutions
- University of Notre Dame (US)
Publication Details
- Journal
- Systems and Control Transactions
- Published
- 2025-06-30
- DOI
- https://doi.org/10.69997/sct.180577
- Primary Topic
- Experimental Learning in Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00