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Lookup NU author(s): Kenneth Thompson,
Professor Paul Acarnley,
Dr Chris French
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This paper describes a new algorithm for the estimation of rotor position in a switched reluctance motor. It is based on a recursive least-squares estimator deducing both position and speed. A particular advantage of the algorithm is its ability to extract information about rotor position at very low speeds (one electrical cycle per minute) from voltage and current waveforms sampled only at the converter switching frequency. Experimental results for a 12/8 motor demonstrate that estimation is possible over the full range of operating conditions, including the field-weakening region, with a typical accuracy of better than two mechanical degrees. The paper also illustrates the performance of the algorithm by showing it operating within a sensorless position controller.
Author(s): Thompson KR, Acarnley PP, French C
Publication type: Article
Publication status: Published
Journal: IEEE Transactions on Industrial Electronics
Print publication date: 01/01/2000
ISSN (print): 0278-0046
ISSN (electronic): 1557-9948
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