On modeling the dynamic thermal behavior of electrical machines using genetic programming and artificial neural networks.

Zavoianu, Alexandru-Ciprian; Kitzberger, Martin; Bramerdorfer, Gerd; Saminger-Platz, Susanne

Abstract

We describe initial attempts to model the dynamic thermal behavior of electrical machines by evaluating the ability of linear and non-linear (regression) modeling techniques to replicate the performance of simulations carried out using a lumped parameter thermal network (LPTN) and two different test scenarios. Our focus falls on creating highly accurate simple models that are well-suited for the real-time computational demands of an envisioned symbiotic interaction paradigm. Preliminary results are quite encouraging and highlight the very positive impact of integrating synthetic features based on exponential moving averages.

Citation

ZAVOIANU, A.-C., KITZBERGER, M., BRAMERDORFER, G. and SAMINGER-PLATZ, S. 2020. On modeling the dynamic thermal behavior of electrical machines using genetic programming and artificial neural networks. In Moreno-Díaz, R., Pichler, F. and Quesada-Arencibia, A. (eds.) Computer aided systems theory: EUROCAST 2019: revised selected papers from the proceedings of the 17th International conference on computer aided systems theory (EUROCAST 2019), 17-22 February 2019, Las Palmas de Gran Canaria, Spain. Lecture notes in computer science, 12013. Cham: Springer [online], part 1, pages 319-326. Available from: https://doi.org/10.1007/978-3-030-45093-9_39

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 17th International conference on computer aided systems theory (EUROCAST 2019)
• Start Date: Feb 17, 2019
• End Date: Feb 22, 2019
• Acceptance Date: Apr 30, 2019
• Online Publication Date: Apr 15, 2020
• Publication Date: Dec 31, 2020
• Deposit Date: May 1, 2020
• Publicly Available Date: May 6, 2020
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: Part 1
• Pages: 319-326
• Series Title: Lecture notes in computer science
• Series Number: 12013
• Series ISSN: 0302-9743 ; 1611-3349
• Book Title: Computer aided systems theory: EUROCAST 2019
• ISBN: 9783030450922
• DOI: https://doi.org/10.1007/978-3-030-45093-9_39
• Keywords: Data-driven modeling; Genetic programming; Dynamic thermal behaviour; Thermal networks; Lumped parameter thermal networks
• Public URL: https://rgu-repository.worktribe.com/output/904371