Please use this identifier to cite or link to this item: doi:10.22028/D291-29544
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Title: A Sliding Mode Observer for Sensorless Operation of Low Power PMS Machines
Author(s): Fabbri, Stefano
Grasso, Emanuele
König, Niklas
Nienhaus, Matthias
Language: English
Title: 2018 AEIT International Annual Conference
Startpage: 1
Endpage: 6
Publisher/Platform: IEEE
Year of Publication: 2018
Title of the Conference: AEIT 2018
Place of the conference: Bari, Italy
Publikation type: Conference Paper
Abstract: The Sliding Mode Observer (SMO) is a non-linear estimation method that is acknowledged to be robust against parameter variations and noise that persist over a control system. In this work, the comparison of three different implementations of the SMO is examined in the case of the estimation of the back electromagnetic force (BEMF) of a permanent magnet synchronous motor (PMSM). In particular, the classical signum function of a SMO is compared to a saturated linear function with steep slope and to a sigmoidal function. These functions are chosen in order to reduce the typical chattering phenomenon. Moreover, performance of the implemented solutions is discussed in terms of maximum achievable speed and current consumption. The tests are carried out using a PIC32MZ microcontroller and a PMSM with surface mounted magnets.
DOI of the first publication: 10.23919/AEIT.2018.8577402
URL of the first publication:
Link to this record: hdl:20.500.11880/28335
ISBN: 978-88-87237-40-5
Date of registration: 21-Nov-2019
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Matthias Nienhaus
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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