Dynamic state space model based analysis of a three-phase induction motor using nonlinear magnetization inductance

Bilal Asad, Toomas Vaimann, Anton Rassõlkin, Anouar Belahcen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)


In this paper, the dynamic state space model of a three-phase induction motor with the inclusion of magnetic saturation effect is presented. Mathematical modelling is a very important tool for design and analysis of a system. In case of electrical machines, its importance becomes twofold, because of its involvement in design and control algorithms. Since more and more sophisticated control algorithms are coming forward, the accurate mathematical modelling is becoming essential. Unlike the conventional linear magnetization inductance-based models, in this paper, magnetization inductance as a nonlinear function of flux is used. Park's transformation-based equations are prepared and simulated in Matlab/Simulink environment. Different motor parameters in transient and steady state intervals are studied both under on and off load conditions.

Original languageEnglish
Title of host publicationProceedings of the 19th International Scientific Conference on Electric Power Engineering, EPE 2018
Number of pages6
ISBN (Electronic)9781538646113
Publication statusPublished - 25 Jun 2018
MoE publication typeA4 Article in a conference publication
EventInternational Scientific Conference Electric Power Engineering - Brno, Czech Republic
Duration: 16 May 201818 May 2018
Conference number: 19

Publication series

NameInternational scientific conference electric power engineering
ISSN (Electronic)2376-5631


ConferenceInternational Scientific Conference Electric Power Engineering
Abbreviated titleEPE
CountryCzech Republic


  • Dynamics
  • Induction motor
  • Mathematical model
  • Saturation magnetization
  • Simulation

Fingerprint Dive into the research topics of 'Dynamic state space model based analysis of a three-phase induction motor using nonlinear magnetization inductance'. Together they form a unique fingerprint.

Cite this