Please use this identifier to cite or link to this item: doi:10.22028/D291-30710
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Title: Power Analysis of Embedded Multi-Core Systems for the Sensorless Operation of Multiple Electrical Drives
Author(s): Wagner, Eric
Lehser, Martina
Nienhaus, Matthias
Editor(s): Nienhaus, Matthias
Language: English
Title: Innovative Klein- und Mikroantriebstechnik : Beiträge der 11. GMM/ETG-Fachtagung 27.-28. September 2017 in Saarbrücken
Startpage: 41
Endpage: 46
Publisher/Platform: VDE-Verlag
Year of Publication: 2017
Title of the Conference: IKMT-Tagung 2017 - 11. GMM/ETG-Fachtagung
Place of the conference: Saarbrücken, Germany
Publikation type: Conference Paper
Abstract: Sensorless control methods are innovative techniques to meet increasing demands on quality and functionality for electrical drive applications. For a power efficient control of multiple drives, we propose the use of embedded multi-core systems for this filed of application. In order to show how the power consumption of embedded multi-core motor controllers scales for the sensorless control of up to three PMSMs, we determine the power consumption of suitable single-, double- and triple-core systems. For this purpose, we structure the embedded systems into different levels of electrical components and calculate their individual power consumption according to measurements of the systems input voltage and currents. The results show, that multi-core motor-controllers become more power efficient for the sensorless control of two and more drives. Compared to a corresponding number of single-core-based controllers, using a multi-core architecture can reduce the power consumption on the part of the motor control systems by about 44% for the control of two drives and by 57% for three.
URL of the first publication: https://ieeexplore.ieee.org/document/8241173
Link to this record: hdl:20.500.11880/28972
http://dx.doi.org/10.22028/D291-30710
ISBN: 978-3-8007-4461-9
Date of registration: 8-Apr-2020
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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