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Parameter estimation of a DC-DC converter using a Kalman Filter approach

Lookup NU author(s): Dr Mohamed Ahmeid, Dr Matthew Armstrong, Dr Shady Gadoue, Dr Petros Missailidis


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This paper presents a system identification approach for power electronic systems, based upon a Kalman Filter (KF) approach. The proposed technique offers good parameter estimation accuracy, but with reduced mathematical complexity compared to other schemes, such as recursive least squares (RLS) based techniques. In this paper, the transfer function parameters of a dc-dc converter are estimated using both KF and RLS approaches. A brief assessment of both algorithms is presented, followed by a detailed simulation. Results demonstrate that the KF algorithm performs better than the RLS when an abrupt load change is applied to the buck converter; both in terms of parameter estimation accuracy and algorithm convergence time.

Publication metadata

Author(s): Ahmeid M, Armstrong M, Gadoue S, Missailidis P

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 7th IET International Conference on Power Electronics, Machines and Drives (PEMD 2014)

Year of Conference: 2014

Online publication date: 19/06/2014

Acceptance date: 01/01/1900

Publisher: IET


DOI: 10.1049/cp.2014.0418

Library holdings: Search Newcastle University Library for this item

ISBN: 9781849198158