Optimization design of a linear actuator using a genetic algorithm
Maridor, J.; Markovic, M.; Ladas, D.; Perriard, Y.
2009

Abstract

This paper presents a method to optimize two linear actuator configurations. The method is stochastic and combines a genetic algorithm (GA) and FEM (finite element method) model generated with the commercial software FEMM. The optimization is performed in order to respect the load curve and speed references during opening and closing of the actuator.

Details

Title Optimization design of a linear actuator using a genetic algorithm
Author(s) Maridor, J. ; Markovic, M. ; Ladas, D. ; Perriard, Y.
Published in Proceedings of the 2009 IEEE International Electric Machines and Drives Conference (IEMDC)
Pages 1776-1781
Conference 2009 IEEE International Electric Machines and Drives Conference (IEMDC), Miami, USA, May 3-6, 2009
Date 2009
Keywords
DOI https://doi.org/10.1109/IEMDC.2009.5075443
Other identifier(s) View record in Web of Science
Laboratories LAI
Record Appears in Scientific production and competences > STI - School of Engineering > IEM - Institut d'Electricité et de Microtechnique > LAI - Integrated Actuators Laboratory
Scientific production and competences > EPFL Partners > Neuchâtel Campus > LAI - Integrated Actuators Laboratory
Peer-reviewed publications
Conference Papers
Work produced at EPFL
Published
Record creation date 2009-09-30