Eigenvalue‐based relative parameter sensitivity analysis for optimised performance of sensorless induction motor drives

Abstract

The formulation of a suitable control scheme for induction motor (IM) drive capable of working in a wide speed range including low and zero speed regions is a challenging task as the system parameters are prone to vary significantly due to temperature rise, skin effect and associated factors. The present study proposes eigenvalue sensitivity-based generalised analytic approach for identifying the dominant motor parameter(s) which affect(s) the estimated speed most severely in the speed sensorless IM drive system. Once such parameter(s) is/are identified, a compensation scheme can be adopted for the same without worrying to the effect of the other motor parameters on the estimated speed. This not only reduce(s) the drive's complexity but also improves the reliability of the overall system. To validate the proposed approach, two different model reference adaptive systems are considered for the speed sensorless IM drive. All the relevant study is done in MATLAB/Simulink. The experimental results as obtained by a dSPACE-1104based laboratory prototype also justify the analysis.

Development of energy efficient scheme for speed sensorless induction motor drive

“…The Q‐MRAS 12 and X‐MRAS 16 are the simplest forms of estimators that show better low or zero speed performances. However, the Q‐MRAS estimator may show instability in the regenerating mode while the formulation of X‐MRAS is stator resistance dependent 17 . Dehghan‐Azad et al 5 propose the applicability of back‐EMF based MRAS in IM driven electric vehicle for wide speed range operation.…”