Sensorless PMSM Control: Hybrid Rotor Position Estimator Using Maximum Likelihood Model Selection

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F13%3A43918632" target="_blank" >RIV/49777513:23220/13:43918632 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ISIE.2013.6563810" target="_blank" >http://dx.doi.org/10.1109/ISIE.2013.6563810</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ISIE.2013.6563810" target="_blank" >10.1109/ISIE.2013.6563810</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Sensorless PMSM Control: Hybrid Rotor Position Estimator Using Maximum Likelihood Model Selection

Popis výsledku v původním jazyce

This paper presents sensorless PMSM control employing a combination of the extended Kalman filter (EKF) and the high-frequency (hf) injection algorithm for estimation of rotor position and speed. Both algorithms have limited usage. The hf injection algorithm can be used in standstill and in very low speeds whilst EKF can be employed in higher speeds. The problem of the introduced ?hybrid? estimator is a proper transition between the EKF and the hf injection strategy. The transition is based on calculating of probabilities for each particular estimation algorithm. We proposed two strategies for proper algorithm selection. The first one is with constant prior probability of particular algorithms and the second one has variable prior probabilities. For their changes is used transition matrix that is known from Markov system. Behavior of the proposed sensorless controls is analyzed and verified by experiments made on a developed laboratory prototype of PMSM drive of rated power 10.7kW.

Název v anglickém jazyce

Sensorless PMSM Control: Hybrid Rotor Position Estimator Using Maximum Likelihood Model Selection

Popis výsledku anglicky

This paper presents sensorless PMSM control employing a combination of the extended Kalman filter (EKF) and the high-frequency (hf) injection algorithm for estimation of rotor position and speed. Both algorithms have limited usage. The hf injection algorithm can be used in standstill and in very low speeds whilst EKF can be employed in higher speeds. The problem of the introduced ?hybrid? estimator is a proper transition between the EKF and the hf injection strategy. The transition is based on calculating of probabilities for each particular estimation algorithm. We proposed two strategies for proper algorithm selection. The first one is with constant prior probability of particular algorithms and the second one has variable prior probabilities. For their changes is used transition matrix that is known from Markov system. Behavior of the proposed sensorless controls is analyzed and verified by experiments made on a developed laboratory prototype of PMSM drive of rated power 10.7kW.

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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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>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

ISIE Symposium DVD Proceedings

ISBN

978-1-4673-5194-2

ISSN

2163-5137

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Taipei

Datum konání akce

28. 5. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000326324900222