Pregled bibliografske jedinice broj: 691970
Position and speed estimation of a stepping motor as an actuator of diesel engine fuel rack
Position and speed estimation of a stepping motor as an actuator of diesel engine fuel rack // Brodogradnja, 65 (2014), 1; 29-38 (međunarodna recenzija, članak, stručni)
CROSBI ID: 691970 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Position and speed estimation of a stepping motor as an actuator of diesel engine fuel rack
Autori
Golub Medvešek, Ivana ; Cibilić, Ante ; Tomas, Vinko
Izvornik
Brodogradnja (0007-215X) 65
(2014), 1;
29-38
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, stručni
Ključne riječi
marine diesel engine ; fuel actuator ; PMSM ; estimation ; Kalman filter
Sažetak
This paper illustrates one efficient method for permanent magnet synchronous motor - PMSM position and speed estimation using Extended Kalman filter - EKF. This is very important, especially in case of faulty sensors. The Extended Kalman Filter is an optimal recursive estimation algorithm for nonlinear systems. Marine diesel engine is a very complex, nonlinear dynamic system. Therefore, it is very important to control the engine shaft torque and power in all circumstances and working conditions. This paper, in short, includes a description of the standard Kalman Filter and its algorithm with the two main steps, the prediction step and the correction step. Furthermore the Extended Kalman Filter is discussed as a nonlinear system. The objective of this paper is to present implementation of Extended Kalman Filter for estimation of the PMSM rotor position and speed in case of faulty sensors by using measurements of the motor currents only. Simulation has been conducted in MATLAB programming environment. Achieved results of the simulation have shown that the PMSM rotor position and speed are estimated sufficiently well for the purpose of marine diesel engine fuel rack position control in the main engine speed control loop.
Izvorni jezik
Engleski
Znanstvena područja
Tehnologija prometa i transport
POVEZANOST RADA
Projekti:
MZOS-112-1121722-3314 - Informacijsko-komunikacijske tehnologije u inteligentnim pomorskim sustavima (Tomas, Vinko, MZOS ) ( CroRIS)
Potpora UNIRI (br. 13.07.1.2.02)
MZOS-250-2502209-2364 - Nove tehnologije u dijagnostici i upravljanja brodskih porivnih sustava (Komar, Ivan, MZOS ) ( CroRIS)
Ustanove:
Pomorski fakultet, Rijeka,
Pomorski fakultet, Split
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
Uključenost u ostale bibliografske baze podataka::
- Geobase
- INSPEC
- Transportation Research Information Services - TRIS
- BMT Abstracts, Vinity Abstracts