Pregled bibliografske jedinice broj: 1061580
Optimization Procedure for Computing Sampling Time for Induction Machine Parameter Estimation
Optimization Procedure for Computing Sampling Time for Induction Machine Parameter Estimation // Applied Sciences-Basel, 10 (2020), 3222, 17 doi:10.3390/app10093222 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1061580 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Optimization Procedure for Computing Sampling Time
for Induction Machine Parameter Estimation
Autori
Benšić, Tin ; Varga, Toni ; Barukčić, Marinko ; Jerkovič Štil, Vedrana
Izvornik
Applied Sciences-Basel (2076-3417) 10
(2020);
3222, 17
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
induction machine ; parameter estimation ; optimal sampling time ; prony series
Sažetak
This paper presents a method for selecting the sampling time for induction machine parameter estimation from the machine line start measurements. the metaheuristic optimization method is used to find the optimal Prony exponential series approxiamtion of the line start transient current. From the optimal approximation, poles of the linearized induction machine model are computed and used to determine the optimal sampling time. the results show that sampling frequencies needed for parameter estimation are much lower than 1– 15 kHz commonly used today. This reduces the necessary amount of collected data and the computing power needed for the estimation. the optimal sampling time is computed for the simulated and for the measured data. Referenced arameter estimation technique is tested for the measured transient showing benefits of using the optimal sampling time.
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) ( CroRIS)
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
