Pregled bibliografske jedinice broj: 3274
Application of the Extended Kalman Filter to Speed and Rotor Position Estimation of Brushless DC Motor
Application of the Extended Kalman Filter to Speed and Rotor Position Estimation of Brushless DC Motor // Electrical Drives and Power Electronics / Drago, Ban ; Zvonko, Benčić (ur.).
Dubrovnik, Hrvatska: Hrvatsko društvo za komunikacije, računarstvo, elektroniku, mjerenja I automatiku (KoREMA), 1996. str. 171-175 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 3274 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Application of the Extended Kalman Filter to Speed and Rotor Position Estimation of Brushless DC Motor
Autori
Terzić, Božo ; Dragičević, Hrvoje ; Jadrić, Martin
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Electrical Drives and Power Electronics
/ Drago, Ban ; Zvonko, Benčić - : Hrvatsko društvo za komunikacije, računarstvo, elektroniku, mjerenja I automatiku (KoREMA), 1996, 171-175
Skup
The 9th International Conference on Electrical Drives and Power Electronics
Mjesto i datum
Dubrovnik, Hrvatska, 09.10.1996. - 11.10.1996
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
brushless dc motor; computer simulation; extended Kalman filter; predictive current controller; speed and rotor position estimation
Sažetak
A method for speed and rotor position estimation in a speed control system with a brushless dc motor has been presented in this paper. The extended Kalman filter has been applied to motor state variables and parameter estimation, using only such electric machine variables as can be measured: the stator line voltages and currents. During this procedure the voltage and current measuring signals are not filtered, which is othervise usually done when applying similar methods. The voltage average value during the sampling interval is obtained by combining measurements and calculations, owning to the application of predictive current controller. Estimation accuracy is verified by computer simulation, for which purpose two mathematical models have been made. The use of an actual model drive was simulated and actual motor variables werw obtained. The other model, by means of which estimated variables and parameters are obtained, is based on the application of the extended Kalman filter and for this it is necessary to define the discrete time model of the motor. Simulation results show good accuracy of speed and rotor position estimation in steady-state and dynamic conditions.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
023012
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split