NDLI: Optimization Shape of Variable Capacitance Micromotor Using Differential Evolution Algorithm

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Optimization Shape of Variable Capacitance Micromotor Using Differential Evolution Algorithm

Content Provider	Semantic Scholar
Author	Ketabi, Abbas Navardi, Mohammad Javad
Copyright Year	2011
Abstract	A new method for optimum shape design of variable capacitance micromotor VCM using Differential Evolution DE , a stochastic search algorithm, is presented. In this optimization exercise, the objective function aims to maximize torque value and minimize the torque ripple, where the geometric parameters are considered to be the variables. The optimization process is carried out using a combination of DE algorithm and FEM analysis. Fitness value is calculated by FEM analysis using COMSOL3.4, and the DE algorithm is realized by MATLAB7.4. The proposed method is applied to a VCM with 8 poles at the stator and 6 poles at the rotor. The results show that the optimized micromotor using DE algorithm had higher torque value and lower torque ripple, indicating the validity of this methodology for VCM design.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.maths.tcd.ie/EMIS/journals/HOA/MPE/Volume2010/909240.pdf
Language	English
Access Restriction	Open
Subject Keyword	Biological Evolution Differential evolution Electric Capacitance Evolutionary computation Finite element method Gallium HL7PublishingSubSection Interpolation Imputation Technique Loss function MATLAB Mathematical optimization Micro-Electrical-Mechanical Systems Microelectromechanical systems Optimization problem R.O.T.O.R. Ripple effect Search algorithm Seizures Software release life cycle Spline interpolation Stochastic optimization Video for Windows
Content Type	Text
Resource Type	Article

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