Gradient based optimization of semi-numerical models with symbolic sensitivity: Application to a simple ferromagnetic MEMS switch device

Issue title: OIPE 2008

Article type: Research Article

Authors: Delinchant, B.^{a; *} | Rakotoarison, H.L.^a | Ardon, V.^a | Chadebec, O.^a | Cugat, O.^a

Affiliations: [a] G2ELab: Grenoble Electrical Engineering Lab, Saint-Martin-d'Hères, France

Correspondence: [*] Corresponding author: B. Delinchant, G2ELab: Grenoble Electrical Engineering Lab, ENSe3 – BP 46 – 38402 Saint-Martin-d'Hères, France. E-mail: Benoit.Delinchant@grenoble-inp.fr

Abstract: This paper deals with electromagnetic modeling dedicated to constrained optimization needs. A tool dedicated to magnetic devices with simple shapes is presented and applied to the design of magnetic MEMS. This tool allows semi-numerical modeling and provides symbolic gradient computation. A multi-level optimization strategy is used to ensure fast and global convergence of magnetic latch micro device.

Keywords: Optimization, gradient, sensitivity, multi-level, magnetic, MEMS

DOI: 10.3233/JAE-2009-1021

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 30, no. 3-4, pp. 189-200, 2009