This letter proposes a model reference adaptive system (MRAS)-based algorithm for simultaneous stator resistance (R/sub s/) and rotor speed (/spl omega/) identification of position sensorless induction motor to accurately estimate /spl omega/ at low speeds without affecting drive performance. The R/sub s/ has to be estimated concurrently with the /spl omega/ estimation to compensate for the fluctuation in R/sub s/. The reference model and adjustable model are interchangeable for concurrent /spl omega/ and R/sub s/ estimation. For stator resistance identification, the two models switch roles. Extensive computer simulation and experimental investigation prove the effectiveness of the proposed solution.
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Vasić et al. (2001) studied this question.
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