Including frequency dependent iron losses in analytical models of induction machines

 |  Login

Show simple item record

dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Arkkio, Antero; Prof.
dc.contributor.author Laldin, Omar
dc.date.accessioned 2011-12-08T09:57:30Z
dc.date.available 2011-12-08T09:57:30Z
dc.date.issued 2008
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/1125
dc.description.abstract The objectives of the project are two-fold. First, appropriate models and tests should be developed to calculate core losses analytically and understand their dependency on frequency. Second, algorithms must be developed to solve the standard machine and core loss parameters. To reach these objectives, small-signal models for the standard machine parameters will be utilised. Small-signal models including core loss parameters will be developed and verified. Core losses will be determined for a 37kW machine from Finite Element Analysis (FEA) at various voltage and frequency points. The results will be used to determine core loss parameters via the steady-state and developed small-signal models. Finally, a DC step voltage test will be utilised, along with an induction machine model at standstill, to determine machine parameters. Three algorithms to determine the machine parameters, based on impulse voltage tests, are presented and compared. The first uses core loss resistance models with a fixed Steinmetz coefficient in small-signal and steady-state models of the induction machine. The second uses core loss resistance models with a variable Steinmetz coefficient. The third algorithm uses the same models used in the second algorithm; however, results of the step voltage tests are used to improve the speed of the algorithm. Furthermore, this algorithm allows all machine parameters to be determined independently. Specifically, the relationship between the stator and rotor leakage inductance need not be known. The challenges faced in determining the aforementioned parameters will also be outlined. Ideas and algorithms to tackle these challenges will be presented. The use of the DC step voltage test to improve the parameter estimation process will be explained. A complete algorithm, using differential evolution and two forms of fixed-point iteration for determining the core loss parameters, will be outlined. en
dc.format.extent 92
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Helsinki University of Technology en
dc.publisher Teknillinen korkeakoulu fi
dc.subject.other Electrical engineering en
dc.title Including frequency dependent iron losses in analytical models of induction machines en
dc.type G2 Pro gradu, diplomityö fi
dc.contributor.school Faculty of Electronics, Communications and Automation en
dc.contributor.school Elektroniikan, tietoliikenteen ja automaation tiedekunta fi
dc.contributor.department Department of Electrical Engineering en
dc.contributor.department Sähkötekniikan laitos fi
dc.subject.keyword induction motor en
dc.subject.keyword circuit model en
dc.subject.keyword core losses en
dc.subject.keyword impulse response en
dc.subject.keyword step response en
dc.subject.keyword small-signal model en
dc.subject.keyword frequency dependency en
dc.identifier.urn urn:nbn:fi:tkk-012804
dc.type.dcmitype text en
dc.programme.major Electromechanics en
dc.programme.major Sähkömekaniikka fi
dc.programme.mcode S-17
dc.type.ontasot Diplomityö fi
dc.type.ontasot Master's thesis en
dc.contributor.supervisor Arkkio, Antero; Prof.
dc.programme Elektroniikan ja sähkötekniikan koulutus-/tutkinto-ohjelma fi
dc.location P1 fi


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search archive


Advanced Search

article-iconSubmit a publication

Browse

My Account