Improved accuracy of model predictive control of induction motor drive using FPGA

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F19%3A43956625" target="_blank" >RIV/49777513:23220/19:43956625 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/abstract/document/8753242" target="_blank" >https://ieeexplore.ieee.org/abstract/document/8753242</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/PRECEDE.2019.8753242" target="_blank" >10.1109/PRECEDE.2019.8753242</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Improved accuracy of model predictive control of induction motor drive using FPGA

Popis výsledku v původním jazyce

Finite control set model predictive control (FCS-MPC) is one of successful model predictive control approaches in electric drives which offers effective solution to multi variable multi criteria problems. The optimal control is found by “brute force” search over the limited set of possible control actions. Due to a discrete nature of power converters FCS-MPC is particularly well suited for use in electric drives. The performance of the control is closely related to accuracy of the model of controlled system. Conventional way of modeling electric drives is to include only simple model of the converter with ideal components with no voltage drops or effect of dead times. This simple mathematical converter description is computationally cheap enough to be implemented by conventional control hardware. On the other hand, the accuracy of the prediction is limited which may negatively impact the performance of the control. In this paper, we propose to design detailed mathematical model of the drive including the mathematical description of the inverter which allows us to address the problems associated with dead times and semiconductor voltage drops. Modeling those inverter nonlinear effects can enhance the control accuracy especially in non-nominal drive conditions (e.g. low speeds). On the other hand the computational requirements increases. We propose to use FPGA to implement the control algorithm using fixed-point arithmetics with high level of pipelining resulting in very fast execution times while keeping FPGA resources low. The performance of proposed solution is verified by simulations and experiments on the laboratory prototype of induction motor drive.

Název v anglickém jazyce

Improved accuracy of model predictive control of induction motor drive using FPGA

Popis výsledku anglicky

Finite control set model predictive control (FCS-MPC) is one of successful model predictive control approaches in electric drives which offers effective solution to multi variable multi criteria problems. The optimal control is found by “brute force” search over the limited set of possible control actions. Due to a discrete nature of power converters FCS-MPC is particularly well suited for use in electric drives. The performance of the control is closely related to accuracy of the model of controlled system. Conventional way of modeling electric drives is to include only simple model of the converter with ideal components with no voltage drops or effect of dead times. This simple mathematical converter description is computationally cheap enough to be implemented by conventional control hardware. On the other hand, the accuracy of the prediction is limited which may negatively impact the performance of the control. In this paper, we propose to design detailed mathematical model of the drive including the mathematical description of the inverter which allows us to address the problems associated with dead times and semiconductor voltage drops. Modeling those inverter nonlinear effects can enhance the control accuracy especially in non-nominal drive conditions (e.g. low speeds). On the other hand the computational requirements increases. We propose to use FPGA to implement the control algorithm using fixed-point arithmetics with high level of pipelining resulting in very fast execution times while keeping FPGA resources low. The performance of proposed solution is verified by simulations and experiments on the laboratory prototype of induction motor drive.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings PRECEDE 2019 : 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)

ISBN

978-1-5386-9414-5

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

216-221

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Quanzhou, China

Datum konání akce

31. 5. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000490536300041