Novel speed estimation technique for vector‐controlled switched reluctance motor drive

This article discusses the speed‐sensorless vector‐controlled SRM‐drive. The use of position/speed sensors have few concerns related to it in terms of cost, reliability, and compactness, a few to mention. Therefore, it is necessary to have some estimation strategy which estimates the speed/position. Since the control of the machine is done in dq 0‐reference frame, so by utilising these dq 0‐variables a novel speed/position estimation technique i.e. ‘P n ‐MRAS (Net‐input‐Power‐based Model‐Reference‐Adaptive‐System) speed‐estimator’ is developed for the vector‐controlled SRM‐drive. The speed‐estimator implemented is simple, no look‐up table is required and no external circuitry is required for injection of the diagnostic signal. Also, the estimator is free from differentiator and integrator terms. The proposed speed‐estimator is stable in all the four quadrants of operation which is proved by performing the stability analysis. The estimator is dependent on two machine parameters (stator‐resistance and amplitude of AC‐component of self‐inductance). The estimator is made robust to changes in stator‐resistance by estimating the resistance online by proposed V 0 ‐MRAS resistance‐estimator. The drive has been extensively simulated in MATLAB/SIMULINK and results are also verified experimentally through a dSPACE‐1104‐based laboratory prototype.