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Pregled bibliografske jedinice broj: 1098728

Modeling and fuzzy control of permanent magnet synchronous motor


Jukić, Domagoj Krešimir; Varga, Toni; Benšić, Tin; Jerković Štil, Vedrana; Barukčić Marinko
Modeling and fuzzy control of permanent magnet synchronous motor // The 10th International Conference on Power Electronics, Machines and Drives
Nottingham, 2020. 307, 6 doi:10.1049/icp.2021.1097 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1098728 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Modeling and fuzzy control of permanent magnet synchronous motor

Autori
Jukić, Domagoj Krešimir ; Varga, Toni ; Benšić, Tin ; Jerković Štil, Vedrana ; Barukčić Marinko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
The 10th International Conference on Power Electronics, Machines and Drives / - Nottingham, 2020

Skup
The 10th International Conference on Power Electronics, Machines and Drives, PEMD 2020

Mjesto i datum
Nottingham, England, 15–17.12.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
permanent magnet synchronous motor ; computational intelligence ; modeling ; fuzzy control

Sažetak
This paper deals with Permanent Magnet Synchronous Motor modeling and control. The derived nonlinear dq model is a com- bination of Finite Element Method simulation data with the classical dq model. The so derived model keeps the precision of the Finite Element Method simulations and also the fast execution times of the dq model. The Finite Element Method data is included in the dq model using Artificial Neural Networks. The derived model is also used for controller design. The chosen controller is a PI like Fuzzy Logic Controller, which is tuned using Genetic Algorithm optimization. The Permanent Magnet Synchronous Motor with Fuzzy Logic Controller operation is tested using Real-Time (Model-in-the-Loop) simulations.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
UIP-2017-05-8572 - Razvoj postupaka kosimulacija programskih alata za primjenu mekog računarstva u elektroenergetici (COPESOC) (Barukčić, Marinko, HRZZ - 2017-05) ( POIROT)

Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Citiraj ovu publikaciju

Jukić, Domagoj Krešimir; Varga, Toni; Benšić, Tin; Jerković Štil, Vedrana; Barukčić Marinko
Modeling and fuzzy control of permanent magnet synchronous motor // The 10th International Conference on Power Electronics, Machines and Drives
Nottingham, 2020. 307, 6 doi:10.1049/icp.2021.1097 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Jukić, D., Varga, T., Benšić, T., Jerković Štil, V. & Barukčić Marinko (2020) Modeling and fuzzy control of permanent magnet synchronous motor. U: The 10th International Conference on Power Electronics, Machines and Drives doi:10.1049/icp.2021.1097.
@article{article, year = {2020}, pages = {6}, DOI = {10.1049/icp.2021.1097}, chapter = {307}, keywords = {permanent magnet synchronous motor, computational intelligence, modeling, fuzzy control}, doi = {10.1049/icp.2021.1097}, title = {Modeling and fuzzy control of permanent magnet synchronous motor}, keyword = {permanent magnet synchronous motor, computational intelligence, modeling, fuzzy control}, publisherplace = {Nottingham, England}, chapternumber = {307} }
@article{article, year = {2020}, pages = {6}, DOI = {10.1049/icp.2021.1097}, chapter = {307}, keywords = {permanent magnet synchronous motor, computational intelligence, modeling, fuzzy control}, doi = {10.1049/icp.2021.1097}, title = {Modeling and fuzzy control of permanent magnet synchronous motor}, keyword = {permanent magnet synchronous motor, computational intelligence, modeling, fuzzy control}, publisherplace = {Nottingham, England}, chapternumber = {307} }

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