FPGA-based sensorless PMSM drive using parallel reduced-order Extended Kalman Filter

Quang, NK; Hieu, NT; Hunter, GP; Ha, QP

FPGA-based sensorless PMSM drive using parallel reduced-order Extended Kalman Filter

Quang, NK Hieu, NT Hunter, GP Ha, QP

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Publication Type:: Conference Proceeding
Citation:: 2012 International Conference on Control, Automation and Information Sciences, ICCAIS 2012, 2012, pp. 164 - 169
Issue Date:: 2012-12-01

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Field	Value	Language
dc.contributor.author	Quang, NK	en_US
dc.contributor.author	Hieu, NT	en_US
dc.contributor.author	Hunter, GP	en_US
dc.contributor.author	Ha, QP https://orcid.org/0000-0003-0978-1758	en_US
dc.date.issued	2012-12-01	en_US
dc.identifier.citation	2012 International Conference on Control, Automation and Information Sciences, ICCAIS 2012, 2012, pp. 164 - 169	en_US
dc.identifier.isbn	9781467308137	en_US
dc.identifier.uri	http://hdl.handle.net/10453/32308
dc.description.abstract	This paper presents the design and evaluation of a Field Programmable Gate Array (FPGA)-based speed sensorless controller for Permanent Magnet Synchronous Motor (PMSM). The estimation of the rotor position and speed is achieved by using a parallel reduced-order Extended Kalman Filter (EKF) to alleviate the need of physical sensors. Compared with the traditional method of EKF, the system order is reduced, the process of iteration of speed estimation algorithm is greatly simplified and it is easy to realize the digital system. To achieve this objective, a comparison is made between the parallel reduced-order EKF, full-order EKF and sliding mode observer (SMO). The developed controller has been implemented in a FPGA-based environment and the very high speed integrated circuit-hardware description language (VHDL) is adopted to describe advantageous features of the proposed control system. The validity of the approach is verified through simulation results based on the Modelsim/Simulink co-simulation method. © 2012 IEEE.	en_US
dc.relation.ispartof	2012 International Conference on Control, Automation and Information Sciences, ICCAIS 2012	en_US
dc.relation.isbasedon	10.1109/ICCAIS.2012.6466579	en_US
dc.title	FPGA-based sensorless PMSM drive using parallel reduced-order Extended Kalman Filter	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	VIETNAM
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

This paper presents the design and evaluation of a Field Programmable Gate Array (FPGA)-based speed sensorless controller for Permanent Magnet Synchronous Motor (PMSM). The estimation of the rotor position and speed is achieved by using a parallel reduced-order Extended Kalman Filter (EKF) to alleviate the need of physical sensors. Compared with the traditional method of EKF, the system order is reduced, the process of iteration of speed estimation algorithm is greatly simplified and it is easy to realize the digital system. To achieve this objective, a comparison is made between the parallel reduced-order EKF, full-order EKF and sliding mode observer (SMO). The developed controller has been implemented in a FPGA-based environment and the very high speed integrated circuit-hardware description language (VHDL) is adopted to describe advantageous features of the proposed control system. The validity of the approach is verified through simulation results based on the Modelsim/Simulink co-simulation method. © 2012 IEEE.

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http://hdl.handle.net/10453/32308