Challenges in Model Reduction for Real-Time Simulation of Traction Chain Systems

Roxana Ionuţiu ()
Additional contact information
Roxana Ionuţiu: ABB Switzerland A.G., Traction, Austrasse, Principal Engineer Real-Time Simulation, Traction

A chapter in Realization and Model Reduction of Dynamical Systems, 2022, pp 409-426 from Springer

Abstract: Abstract Real-time simulation for closed-loop controller testing represents one of the most challenging playing fields in industrial mathematics. Compared to offline simulation, where more sophisticated but time-consuming numerical methods can accurately simulate complex non-linear dynamical systems, in real-time simulation only a limited execution time is available—per time-step—to solve these systems. This calls for dynamical system modeling and simulation approaches which must simultaneously satisfy stringent accuracy and performance requirements. In this paper we present solutions and open problems in modeling, simulating and controlling dynamical systems in real-time, focusing on electric transportation applications. In particular, the applicability of model-order reduction is analyzed for speeding-up the real-time simulation of traction chain systems.

Keywords: Real-time simulation; Hardware-in-the-loop; Control; Traction systems; Model reduction (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-95157-3_22

Ordering information: This item can be ordered from
http://www.springer.com/9783030951573

DOI: 10.1007/978-3-030-95157-3_22

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().