Continuous Control Set Model Predictive Control of a Switch Reluctance Drive Using Lookup Tables

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F20%3A00538415" target="_blank" >RIV/67985556:_____/20:00538415 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.mdpi.com/1996-1073/13/13/3317" target="_blank" >https://www.mdpi.com/1996-1073/13/13/3317</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/en13133317" target="_blank" >10.3390/en13133317</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Continuous Control Set Model Predictive Control of a Switch Reluctance Drive Using Lookup Tables

Popis výsledku v původním jazyce

A problem of the switched reluctance drive is its natural torque pulsations, which arepartially solved with finite control set model predictive control strategies. However, the continuouscontrol set model predictive control, required for precise torque stabilization and predictable powerconverter behavior, needs sufficient computation resources, thus limiting its practical implementation.The proposed model predictive control strategy utilizes offline processing of the magnetizationsurface of the switched reluctance motor. This helps to obtain precalculated current references foreach torque command and rotor angular position in the offline mode. In online mode, the modelpredictive control strategy implements the current commands using the magnetization surface for fastevaluation of the required voltage command for the power converter. The proposed strategy needsonly two lookup table operations requiring very small computation time, making instant execution ofthe whole control system possible and thereby minimizing the control delay. The proposed solutionwas examined using a simulation model, which showed precise and rapid torque stabilization belowrated speed

Název v anglickém jazyce

Continuous Control Set Model Predictive Control of a Switch Reluctance Drive Using Lookup Tables

Popis výsledku anglicky

A problem of the switched reluctance drive is its natural torque pulsations, which arepartially solved with finite control set model predictive control strategies. However, the continuouscontrol set model predictive control, required for precise torque stabilization and predictable powerconverter behavior, needs sufficient computation resources, thus limiting its practical implementation.The proposed model predictive control strategy utilizes offline processing of the magnetizationsurface of the switched reluctance motor. This helps to obtain precalculated current references foreach torque command and rotor angular position in the offline mode. In online mode, the modelpredictive control strategy implements the current commands using the magnetization surface for fastevaluation of the required voltage command for the power converter. The proposed strategy needsonly two lookup table operations requiring very small computation time, making instant execution ofthe whole control system possible and thereby minimizing the control delay. The proposed solutionwas examined using a simulation model, which showed precise and rapid torque stabilization belowrated speed

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Energies

ISSN

1996-1073

e-ISSN

—

Svazek periodika

13

Číslo periodika v rámci svazku

13

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

14

Strana od-do

3317

Kód UT WoS článku

000554973300001

EID výsledku v databázi Scopus

2-s2.0-85087889037