Novel Complex-Valued Stator Current-Based MRAS Estimators With Different Adaptation Mechanisms

Zerdali E., Menguec E. C.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, vol.68, no.10, pp.3793-3795, 2019 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 68 Issue: 10
  • Publication Date: 2019
  • Doi Number: 10.1109/tim.2019.2932161
  • Journal Name: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.3793-3795
  • Keywords: Complex-valued adaptive algorithm, induction motor (IM), model reference adaptive system (MRAS) estimator, speed-sensorless control, LEAST-MEAN KURTOSIS
  • Kayseri University Affiliated: No

Abstract

Recently, model reference adaptive systems (MRASs) used for mechanical speed estimation of induction motors have become the focus of interest in the literature due to their simple structures, easy implementations, and low computational burdens. In this article, stator current-based MRAS (MRAS(is)), which is one of the most preferred MRASs, is first defined in the complex domain, and then the fixed-gain proportional-integral controller causing insufficient estimation performance in the adaptation mechanism is replaced by two different complex-valued adaptive algorithms. To prove the effectiveness of the proposed complex-valued MRAS(is) estimators, their estimation performances are compared by using real-time experimental results.