Department of Electrical Engineering and Automation

Computational electromechanics

The research in our group is focused on the numerical modelling of coupled problems that occur in magnetic materials and especially electrical steel sheets used to construct electrical machines. These problems range from energy dissipation in the material to vibrations and noise of electrical machines and devices.
Computational electromechanics

Yet another major subject is the coupling between models of different dimensionality in view of reducing the computation time needed to simulate energy conversion devices. These methodologies are then applied in the optimization tasks and also in the development of magnetism based sensors.

We develop our own methods and related software and validate the methodology through experimental procedures in our own facilities. Some of the methods we develop are also incorporated in commercial software for better transfer of knowledge to our stakeholders.

The group is led by Professor Anouar Belahcen.

Latest publications

Real-Time Control of an IPMSM Using Model Order Reduction

Mehrnaz Farzam Far, Floran Martin, Anouar Belahcen, Paavo Rasilo, Hafiz Asad Ali Awan 2021 IEEE Transactions on Industrial Electronics

Design optimization of permanent magnet clutch

E. A. Andriushchenko, A. Kallaste, A. Belahcen, H. Heidari, T. Vaimann, A. Rassõlkin 2020 Proceedings of the International Conference on Electrical Machines, ICEM 2020

Modified winding function-based model of squirrel cage induction motor for fault diagnostics

Bilal Asad, Toomas Vaimann, Anouar Belahcen, Ants Kallaste, Anton Rassõlkin, Muhammad Naveed Iqbal 2020 IET Electric Power Applications

The cluster computation-based hybrid FEM–analytical model of induction motor for fault diagnostics

Bilal Asad, Toomas Vaimann, Anouar Belahcen, Ants Kallaste, Anton Rassõlkin, M. Naveed Iqbal 2020 Applied Sciences (Switzerland)

The low voltage start-up test of induction motor for the detection of broken bars

B. Asad, T. Vaimann, A. Belahcen, A. Kallaste, A. Rassõlkin, H. Heidari 2020 Proceedings of the International Conference on Electrical Machines, ICEM 2020

Modeling of multi-axial stress dependent iron losses in electrical steel sheets

U. Aydin, P. Rasilo, F. Martin, A. Belahcen, L. Daniel, A. Arkkio 2020 Journal of Magnetism and Magnetic Materials

A computationally effective method for iron loss estimation in a synchronous machine from a static field solution

Md Masum Billah, Floran Martin, Anouar Belahcen 2020 Proceedings of the 2020 International Conference on Electrical Machines, ICEM 2020

Magnus wind turbine

Galina L. Demidova, Alecksey Anuchin, Aleksandr Lukin, Dmitry Lukichev, Anton Rassolkin, Anouar Belahcen 2020 Proceedings of the 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2020

Analytical thermal model and flow network analysis suitable for open self-ventilated machines

Payam Shams Ghahfarokhi, Ants Kallaste, Anouar Belahcen, Toomas Vaimann 2020 IET Electric Power Applications

Development of analytical thermal analysis tool for synchronous reluctance motors

Payam Shams Ghahfarokhi, Ants Kallaste, Andrejs Podgornovs, Anouar Belahcen, Toomas Vaimann 2020 IET Electric Power Applications
More information on our research in the Research database.
Research database
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