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dc.contributor.advisorElliot Ranger and James L. Kirtley, Jr.en_US
dc.contributor.authorPinkham, Andrew Pen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2009-06-30T16:58:40Z
dc.date.available2009-06-30T16:58:40Z
dc.date.copyright2008en_US
dc.date.issued2008en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/46004
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.en_US
dc.descriptionIncludes bibliographical references (leaves 101-102).en_US
dc.description.abstractThis thesis develops analytic models for the prediction and optimization of radial-flux permanent magnet motor torque and efficiency. It also facilitates the design optimization of electromagnetically-powered rotorcraft by characterizing optimal motor performance over a wide range of motor mass. The solution of the Poisson Equation, found as a function of the three spatial coordinates, is applied to the prediction of motor fluxes. Back EMF waveforms of prototype motors are measured in order to validate the analytical predictions. The solution of the magneto-quasi-static Maxwell's Equations are applied to the analysis of eddy currents and torque measurements are made to verify the theoretical predictions. Simplified motor models are discovered which yield symbolic solutions for optimal motor parameters as a function of mass. The Monte Carlo method is applied to the empirically-based motor model to compute optimal motor dimensions, number of magnet poles, and magnet height versus motor active mass for arbitrary material parameter values.en_US
dc.description.statementofresponsibilityby Andrew P. Pinkham.en_US
dc.format.extent102 leavesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleModeling and optimization of permanent magnetic motorsen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc355432894en_US


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