Naslov
State and Parameter Estimation for Field-oriented Control of Induction Machine Based on Unscented Kalman Filter

Autori
Lešić, Vinko ; Vašak, Mario ; Stojičić, Goran ; Perić, Nedjeljko ; Joksimović, Gojko ; Wolbank, Thomas

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

Izvornik
Proceedings of the 2012 International Symposium on Power Electronics, Electrical Drives, Automation and Motion / - Sorrento, 2012, 409-414

ISBN
978-1-4673-1300-1

Skup
2012 International Symposium on Power Electronics, Electrical Drives, Automation and Motion

Mjesto i datum
Sorrento, Italija, 20.06.2012. - 22.06.2012

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Induction Machine; Parameter and State Estimation; Dual Unscented Kalman Filter; Flux Position Estimation

Sažetak
Modern electric machines are required to have the best possible dynamic performances. In induction machines this is achieved by control strategies that are applied with respect to the flux in the air gap and therefore they require precise information on flux position. This paper proposes an observer with autotuning capability that uses the unscented Kalman filter algorithm for providing on-line estimation of states and parameters of the fundamental wave model of the machine. The algorithm uses power converter reference values of stator voltages, measured stator currents and rotor speed as inputs. Such observer provides accurate estimates of flux position and fundamental stator currents required for e.g. field-oriented control, taking into account machine parameters variability. Design procedure of the observer is presented and both simulation and experimental results are provided.

Izvorni jezik
Engleski

Znanstvena područja
Temeljne tehničke znanosti

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