Discrete-Time Modeling of PMSM for Parametric Estimation and Model Predictive Control Tasks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F23%3APU149570" target="_blank" >RIV/00216305:26620/23:PU149570 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10312226" target="_blank" >https://ieeexplore.ieee.org/document/10312226</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IECON51785.2023.10312226" target="_blank" >10.1109/IECON51785.2023.10312226</a>

Result language
angličtina
Original language name
Discrete-Time Modeling of PMSM for Parametric Estimation and Model Predictive Control Tasks
Original language description
This paper presents novel implicit and explicit discrete-time permanent magnet synchronous motor models. Both derived models solve the problem of numerical instability and poor precision of motor currents' discrete-time prototypes formed using the forward Euler method and preserve the tolerable complexity of resulting descriptions. Discrete-time models of currents are derived based on the linear time-varying systems approach, considering the electrical angular velocity time-varying parameter. Angular velocity and angle are discretized by using the linear multistep methods. The implicit variant of the model is dedicated to parametric estimation tasks, and the explicit variant is to model predictive control. The derived descriptions are validated within the simulation by comparing the original continuous-time model and Euler approximation with the explicit model. Furthermore, the prediction capabilities of the explicit model and Euler approximation are compared as well.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
IECON 2023: 49th Annual Conference of the IEEE Industrial Electronics Society
ISBN
979-8-3503-3182-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
„“-„“
Publisher name
IEEE
Place of publication
neuveden
Event location
Singapore
Event date
Oct 16, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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