An Algorithm for Nonintrusive In Situ Efficiency Estimation of Induction Machines Operating With Unbalanced Supply Conditions

• Published in: IEEE transactions on industry applications 2012-11, Vol.48 (6), p.1890-1900
• Main Authors: Siraki, A. G., Gajjar, C., Khan, M. A., Barendse, P., Pillay, P.
• Format: Article
• Language: English
• Subjects: Adaptive algorithms; Algorithm design and analysis; Algorithms; Balancing; Current measurement; Electric potential; Error analysis; Estimation; evolutionary algorithm; Harmonic analysis; in situ efficiency estimation; induction motor; Induction motors; Intrusion; nonlinear adaptive filter; repeatability test; Reproducibility; Rotors; Studies; Tasks; unbalanced supply; Voltage
• ISSN: 0093-9994; 1939-9367
• DOI: 10.1109/TIA.2012.2225813

The development of an in situ efficiency estimation technique is a challenging task where the lowest level of intrusion and the highest possible accuracy are required. In this paper, a new algorithm is discussed for the in situ efficiency estimation of induction machines under unbalanced power supplies. Prior work in the literature has concentrated on balanced supplies. In addition, to have a nonintrusive speed measurement, a specific adaptive nonlinear algorithm is applied for the extraction of the speed-dependent current harmonics from the measured current signal. A similar algorithm is used to extract the symmetrical components from the current and voltage signals to handle the unbalanced supply conditions. Experimental results with two different machines are used to prove the effectiveness and generality of the proposed method. Measurement error analysis, as well as repeatability tests, has been done to determine the credibility of the proposed method.