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Home / Electric Power Components and Systems, Volume 37, Number 10

Sensorless Control of Brushless DC Motor Based on Wavelet Theory

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Authors: Yilmaz, Murat 1 ; Tuncay, R. Nejat 2 ; Ustun, Ozgur 3 ; Krein, T. Philip 4 ; 

Source: Electric Power Components and Systems, Volume 37, Number 10, October 2009, pp. 1063-1080(18)

Publisher: Taylor and Francis Ltd

DOI: https://doi.org/10.1080/15325000902953377

This article seeks to develop a sensorless drive technique for brushless machines based on wavelet theory that provides the advantages of separating low-frequency and commutation effects. The approach adopts two methods of position prediction. The first method employs self-inductance variation, as established with finite element analysis. The second is based on induced voltage and zero-crossing point estimation. The problem of starting is resolved by sensing inductance for the first method and by providing a look-up table for each direction of rotation for the second method. Both proportional-integral-derivative and fuzzy control algorithms are developed, and simulated current and speed-controlled performance predictions are obtained. Daubechies discrete wavelet analyses of experimental and simulated waveforms are obtained, with emphasis on commutation intervals. An algorithm is developed to predict commutation instants from wavelet results. The simulation model and its wavelet analysis match the experiments.

Keywords: brushless DC motor; discrete wavelet analysis; finite element analysis; sensorless control

Document Type: Research Article

Affiliations: 1: Department of Electrical Engineering, Faculty of Electrical and Electronics Engineering, Istanbul Technical University, Maslak, Istanbul, Turkey,Department of Electrical and Computer Engineering, Grainger Center for Electric Machinery and Electromechanics, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA 2: Department of Electrical Engineering, Faculty of Electrical and Electronics Engineering, Istanbul Technical University, Maslak, Istanbul, Turkey,Department of Electrical Engineering and Electronics, Akfirat Campus, Faculty of Engineering and Architecture, Okan University, Tuzla, Istanbul, Turkey 3: Department of Electrical Engineering, Faculty of Electrical and Electronics Engineering, Istanbul Technical University, Maslak, Istanbul, Turkey 4: Department of Electrical and Computer Engineering, Grainger Center for Electric Machinery and Electromechanics, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA

Publication date: 01 October 2009

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