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dc.contributor.advisorJames K. Roberge.en_US
dc.contributor.authorJohnson, Rayal St. Patricken_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2008-05-19T16:02:43Z
dc.date.available2008-05-19T16:02:43Z
dc.date.copyright2007en_US
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/41628
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.en_US
dc.descriptionIncludes bibliographical references (p. 59-60).en_US
dc.description.abstractIn this thesis, I designed and built analog circuits to extend the linear range of a magnetic levitator. Analog Devices AD633 multipliers are used to implement nonlinear terms which compensate for the electromagnet and sensor nonlinearities, which were measured experimentally. Implementing the nonlinear compensation allows the system to be operating point independent. Frequency compensation was done with a lead network since the resulting linearized levitator is essentially a double integrator. Position sensing was done using an OPB732 reflective switch. Nonlinear compensation for the sensor is done with an AD532 multiplier configured as a divider.en_US
dc.description.statementofresponsibilityby Rayal St. Patrick Johnson.en_US
dc.format.extent60 p.en_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.titleA low-power-extended-linear-range magnetic levitatoren_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.oclc216925107en_US


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