FPGA - based accelerator for model predictive control of induction motor drive

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F18%3A43953532" target="_blank" >RIV/49777513:23220/18:43953532 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/8624793" target="_blank" >https://ieeexplore.ieee.org/document/8624793</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

FPGA - based accelerator for model predictive control of induction motor drive

Popis výsledku v původním jazyce

The model predictive control is a set of algorithms which uses the dynamical model of controlled system to predict the future systems responses. Nowadays, the nonlinear finite control set model predictive control (FCS-MPC) is a popular technique for control of induction motor drives. The FCS-MPC enables accurate and high-dynamic control of the induction motor currents, rotational speed, torque etc. with respect to system constraints (e.g. urrent/voltage limitations). The main drawbacks of FCS-MPC algorithms are their computational requirements which reduce FCS-MPC prediction horizon and its applications. Our paper is focused on the FPGA accelerator of FCS-MPC of induction motor extended by the three phase inverter model with dead-times and voltage drops. These inverter nonlinear effects play important role especially in nonnominal drive conditions (e.g. low speeds).

Název v anglickém jazyce

FPGA - based accelerator for model predictive control of induction motor drive

Popis výsledku anglicky

The model predictive control is a set of algorithms which uses the dynamical model of controlled system to predict the future systems responses. Nowadays, the nonlinear finite control set model predictive control (FCS-MPC) is a popular technique for control of induction motor drives. The FCS-MPC enables accurate and high-dynamic control of the induction motor currents, rotational speed, torque etc. with respect to system constraints (e.g. urrent/voltage limitations). The main drawbacks of FCS-MPC algorithms are their computational requirements which reduce FCS-MPC prediction horizon and its applications. Our paper is focused on the FPGA accelerator of FCS-MPC of induction motor extended by the three phase inverter model with dead-times and voltage drops. These inverter nonlinear effects play important role especially in nonnominal drive conditions (e.g. low speeds).

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/LO1607" target="_blank" >LO1607: RICE – Nové technologie a koncepce pro inteligentní průmyslové systémy</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 2018 18th International Conference on Mechatronics - Mechatronika (ME)

ISBN

978-80-214-5542-9

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

229-234

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Brno, Czech Republic

Datum konání akce

5. 12. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000465104200036