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An Induction Motor Model for Virtual Drive Simulation Systems

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Mukherjee, Victor
dc.contributor.advisor Lalu, Jarkko
dc.contributor.author Martinovski, Tatjana
dc.date.accessioned 2020-01-26T18:07:09Z
dc.date.available 2020-01-26T18:07:09Z
dc.date.issued 2020-01-20
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/42737
dc.description.abstract In order to improve the control strategies and in turn increase the efficiency of the system, it is necessary to use accurate machine models. Finite element method (FEM) based machine models are considered sufficiently accurate. However, they cannot run in real time due to their computational costs. Traditional analytical models containing only constant-valued parameters can run in real time; however, they cannot model the machine power losses accurately enough. This thesis proposes an analytical induction motor model. The electromagnetic (EM) loss calculation has been improved compared to the previous models by separating the rotor iron loss from the stator no load iron loss, by modelling the stray load loss (SLL) in the stator iron and by considering the loss due to the skin effect in the rotor bars. In the case of the 45 kW test motor and compared to the FEM computations, the error in the total EM loss is less than 0.1 % in the no load condition, and less than 0.6 % for the rated loading. The proposed model is suitable for time-domain simulations and it can run in real time. Therefore, it can be integrated with an electric drive simulation, which can be used in a variety of applications. The model has been implemented in the MATLAB Simulink environment. FEM-based program FC-SMEK was used for computing the machine losses and for validating the results. The nonlinear least squares data fitting method lsqnonlin was used for identifying the parameters of the proposed model. en
dc.format.extent 58
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.title An Induction Motor Model for Virtual Drive Simulation Systems en
dc.type G2 Pro gradu, diplomityö fi
dc.contributor.school Sähkötekniikan korkeakoulu fi
dc.subject.keyword induction motor en
dc.subject.keyword modelling en
dc.subject.keyword power losses en
dc.subject.keyword iron loss en
dc.subject.keyword FEM en
dc.identifier.urn URN:NBN:fi:aalto-202001261847
dc.programme.major Electrical Power and Energy Engineering fi
dc.programme.mcode ELEC3024 fi
dc.type.ontasot Master's thesis en
dc.type.ontasot Diplomityö fi
dc.contributor.supervisor Belahcen, Anouar
dc.programme AEE - Master’s Programme in Automation and Electrical Engineering (TS2013) fi
dc.location P1 fi
local.aalto.electroniconly yes
local.aalto.openaccess yes


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