Title :
Optimization design of a linear actuator using a genetic algorithm
Author :
Maridor, Joel ; Markovic, Miroslav ; Perriard, Yves ; Ladas, Dimitrios
Author_Institution :
Integrated Actuators Lab. (LAI), Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne
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.
Keywords :
electromagnetic actuators; finite element analysis; genetic algorithms; stochastic processes; FEM; finite element method; genetic algorithm; linear actuator configuration; optimization design; stochastic method; Algorithm design and analysis; Analytical models; Contactors; Design optimization; Finite element methods; Genetic algorithms; Hydraulic actuators; Optimization methods; Springs; Stochastic processes;
Conference_Titel :
Electric Machines and Drives Conference, 2009. IEMDC '09. IEEE International
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4244-4251-5
Electronic_ISBN :
978-1-4244-4252-2
DOI :
10.1109/IEMDC.2009.5075443
