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Naslov:Innovative approach for the determination of a DC motor’s and drive’s parameters using evolutionary methods and different measured current and angular speed responses
Avtorji:ID Jesenik, Marko (Avtor)
ID Ravber, Miha (Avtor)
ID Trbušić, Mislav (Avtor)
Datoteke:.pdf mathematics-12-00042-v2_(1).pdf (5,41 MB)
MD5: 39AC6C28D7786230E37E5E6098761413
 
Jezik:Angleški jezik
Vrsta gradiva:Neznano
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
Opis:The determination is presented of seven parameters of a DC motor’s drive. The determination was based on a comparison between the measured and simulated current and speed responses. For the parameters’ determination, different evolutionary methods were used and compared to each other. The mathematical model presenting the DC drives model was written using two coupled differential equations, which were solved using the Runge–Kutta first-, second-, third- and fourth-order methods. The approach allows determining the parameters of controlled drives in such a way that the controller is taken into account with the measured voltage. Between the tested evolutionary methods, which were Differential Evolution with three strategies, Teaching-Learning Based Optimization and Artificial Bee Colony, the Differential Evolution (DE/rand/1/exp) can be suggested as the most appropriate for the presented problem. Measurements with different sampling times were used, and it was found out that at least some measuring points should be at the speed-up interval. Different lengths of the measured signal were tested, and it is sufficient to use a signal consisting of the drive’s acceleration and a short part of the stationary operation. The analysis showed that the procedure has good repeatability. The biggest deviation of calculated parameters considering 10 repeated measurements was 6% in case of the La calculation. The deviations of all the other parameters’ calculations were less than 2%.
Ključne besede:differential evolution, artificial bee colony, teaching-learning based optimization, DC motors, electric drive
Poslano v recenzijo:21.11.2023
Datum sprejetja članka:21.12.2023
Datum objave:22.12.2023
Leto izida:2024
Št. strani:25 str.
Številčenje:Vol. 12, no. 1, [article no.] 42
PID:20.500.12556/DKUM-86887 Novo okno
UDK:621.3
COBISS.SI-ID:179566851 Novo okno
DOI:10.3390/math12010042 Novo okno
ISSN pri članku:2227-7390
Avtorske pravice:© 2023 by the authors
Datum objave v DKUM:26.01.2024
Število ogledov:123
Število prenosov:8
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
Področja:Ostalo
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Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del revije

Naslov:Mathematics
Skrajšan naslov:Mathematics
Založnik:MDPI AG
ISSN:2227-7390
COBISS.SI-ID:523267865 Novo okno

Gradivo je financirano iz projekta

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:N1-0114
Naslov:Algebrajski odtisi geometrijskih značilnosti v homologiji

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:diferencialna evolucija, kolonija čebel, DC motorji, električni pogon


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