Litcius/Paper detail

A New Stator Resistance Estimation Technique for Vector-Controlled PMSM Drive

Sai Shiva Badini, Vimlesh Verma

2020IEEE Transactions on Industry Applications43 citationsDOI

Abstract

This article presents new stator resistance (R <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">s</sub> ) estimation techniques for a vector-controlled permanent magnet synchronous motor (PMSM) drive. These techniques give the indirect measurement of the temperature rise in the stator. An accurate estimation of the R <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">s</sub> will help in the condition monitoring of the PMSM machine. The various R <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">s</sub> estimation techniques proposed in this article are formulated using the model reference adaptive system (MRAS). Out of the various methods proposed, Þ - MRAS performs better than the remaining stator resistance estimation techniques since this is independent of the integrator, differentiator, and speed; offers robust and dynamic performance in all four modes of operation, including zero speed. The stability and sensitivity analysis is further carried out to ensure the robustness of the proposed estimation techniques. The proposed stator resistance estimation techniques are simulated in MATLAB/Simulink and experimentally validated through a dSPACE-1104-based laboratory prototype.

Topics & Concepts

MRASStatorRobustness (evolution)Control theory (sociology)Estimation theoryComputer scienceControl engineeringMATLABVector controlInduction motorEngineeringArtificial intelligenceAlgorithmElectrical engineeringChemistryVoltageGeneOperating systemControl (management)BiochemistrySensorless Control of Electric MotorsElectric Motor Design and AnalysisMagnetic Bearings and Levitation Dynamics