Optimization of an electromagnetic linear actuator using a network and a finite element model

Holger Neubert; Alfred Kamusella; Jens Lienig

doi:10.1117/12.885637

27 April 2011 Optimization of an electromagnetic linear actuator using a network and a finite element model

Holger Neubert, Alfred Kamusella, Jens Lienig

Proceedings Volume 7977, Active and Passive Smart Structures and Integrated Systems 2011; 797721 (2011) https://doi.org/10.1117/12.885637
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2011, San Diego, California, United States

Abstract

Model based design optimization leads to robust solutions only if the statistical deviations of design, load and ambient parameters from nominal values are considered. We describe an optimization methodology that involves these deviations as stochastic variables for an exemplary electromagnetic actuator used to drive a Braille printer. A combined model simulates the dynamic behavior of the actuator and its non-linear load. It consists of a dynamic network model and a stationary magnetic finite element (FE) model. The network model utilizes lookup tables of the magnetic force and the flux linkage computed by the FE model. After a sensitivity analysis using design of experiment (DoE) methods and a nominal optimization based on gradient methods, a robust design optimization is performed. Selected design variables are involved in form of their density functions. In order to reduce the computational effort we use response surfaces instead of the combined system model obtained in all stochastic analysis steps. Thus, Monte-Carlo simulations can be applied. As a result we found an optimum system design meeting our requirements with regard to function and reliability.

Citation Download Citation

Holger Neubert, Alfred Kamusella, and Jens Lienig "Optimization of an electromagnetic linear actuator using a network and a finite element model", Proc. SPIE 7977, Active and Passive Smart Structures and Integrated Systems 2011, 797721 (27 April 2011); https://doi.org/10.1117/12.885637

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