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

In: Realization and Model Reduction of Dynamical Systems

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  • Roxana Ionuţiu

    (ABB Switzerland A.G., Traction, Austrasse, Principal Engineer Real-Time Simulation, Traction)

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.

Suggested Citation

  • Roxana Ionuţiu, 2022. "Challenges in Model Reduction for Real-Time Simulation of Traction Chain Systems," Springer Books, in: Christopher Beattie & Peter Benner & Mark Embree & Serkan Gugercin & Sanda Lefteriu (ed.), Realization and Model Reduction of Dynamical Systems, pages 409-426, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-95157-3_22
    DOI: 10.1007/978-3-030-95157-3_22
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