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Simplification by pruning as a model order reduction approach for RF-MEMS switches

Gabriela Ciuprina (Department of Electrical Engineering, Politehnica University of Bucharest, Bucharest, Romania)
Daniel Ioan (Department of Electrical Engineering, Politehnica University of Bucharest, Bucharest, Romania)
Aurel-Sorin Lup (Department of Electrical Engineering, Politehnica University of Bucharest, Bucharest, Romania)
Luis Miguel Silveira (ALGOS – Algorithms for Optimization and Simulation Group, INESC, Lisbon, Portugal)
Anton Duca (Department of Electrical Engineering, Politehnica University of Bucharest, Bucharest, Romania)
Michael Kraft (ESAT – MICAS, Microelectronics and Sensors Group, KU Leuven, Leuven, Belgium)

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering

ISSN: 0332-1649

Article publication date: 29 November 2019

Issue publication date: 20 May 2020

77

Abstract

Purpose

This paper proposes an algorithm for the extraction of reduced order models of MEMS switches, based on using a physics aware simplification technique.

Design/methodology/approach

The reduced model is built progressively by increasing the complexity of the physical model. The approach starts with static analyses and continues with dynamic ones. Physical phenomena are introduced sequentially in the reduced model whose order is increased until accuracy, computed by assessing forces that are kept in the reduced model, is acceptable.

Findings

The technique is exemplified for RF-MEMS switches, but it can be extended for any device where physical phenomena can be included one by one, in a hierarchy of models. The extraction technique is based on analogies that are carried out for both the multiphysics and the full-wave electromagnetic phenomena and their couplings. In the final model, the multiphysics electromechanical phenomena is reduced to a system with lumped components with nonlinear elastic and damping forces, coupled with a system with distributed and lumped components which represents the reduced model of the RF electromagnetic phenomena.

Originality/value

Contrary to the order reduction by projection methods, this approach has the advantage that the simplified model can be easily understood, the equations and variables have significance for the user and the algorithm starts with a model of minimal order, which is increased until the approximation error is acceptable. The novelty of the proposed method is that, being tailored to a specific application, it is able to keep physical interpretation inside the reduced model. This is the reason why, the obtained model has an extremely low order, much lower than the one achievable with general state-of-the-art procedures.

Keywords

Acknowledgements

This paper forms part of a special section “12th International Conference on Scientific Computing in Electrical Engineering (SCEE 2018)”, guest edited by Vittorio Romano.

Work co-funded by Bilateral Romania-Belgium EchoMEMS, ctr.98/BM/2017, Operational Programme Human Capital of the Ministry of European Funds through The Financial Agreement 51675/09.07.2019, SMIS code 125125 as well as FCT, Fundação para a Ciência e a Tecnologia, Portugal UID/CEC/50021.

Citation

Ciuprina, G., Ioan, D., Lup, A.-S., Silveira, L.M., Duca, A. and Kraft, M. (2020), "Simplification by pruning as a model order reduction approach for RF-MEMS switches", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 39 No. 2, pp. 511-523. https://doi.org/10.1108/COMPEL-06-2019-0266

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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