Comparison of novel approaches to the predictive control of a DC-DC boost converter, based on heuristics

Baždarić, Robert (avtor), Vončina, Danijel (avtor), Škrjanc, Igor (avtor)

This paper introduces novel approaches to the predictive control of a DC-DC boost converter and a comparison of the controllers built that consider all of the current objectives and minimize the complexity of the online processing. The primary concern is given to the applicability of the inclined methods for systems that are physically small but considered physically fast processes. Although the performed methodologies are simulated and applied to a DC-DC boost converter, they can have broader applicability for different switched affine systems as a subgroup of the hybrid systems. The introduced methods present an alternative way of building the process model based on the fuzzy identification that contributes to the final objective: the applicability of the predictive methods for fast processes.

• Jezik: Angleški jezik
• Ključne besede: fuzzy algorithms, identification, control, switched affine systems, hybrid systems, fuzzy identification, fuzzy modeling, two degrees of freedom, fuzzy model predictive control
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FE - Fakulteta za elektrotehniko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2018
• Št. strani: 16 str.
• Številčenje: Vol. 11, iss. 12, art. 3300
• PID: 20.500.12556/RUL-132066
• UDK: 681.5
• ISSN pri članku: 1996-1073
• DOI: 10.3390/en11123300
• COBISS.SI-ID: 12264020
• Datum objave v RUL: 11.10.2021

Gradivo je del revije

• Naslov: Energies
• Skrajšan naslov: Energies
• Založnik: Molecular Diversity Preservation International
• ISSN: 1996-1073
• COBISS.SI-ID: 518046745

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.
• Začetek licenciranja: 01.12.2018

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: mehki algoritmi, identifikacija, vodenje