Open AccessImproved MRAS based speed estimation for a vector controlled switched reluctance motor drive
Author(s) -
Abbas Khan Yawer,
Verma Vimlesh
Publication year - 2020
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
ISSN - 1751-8679
DOI - 10.1049/iet-epa.2020.0277
Subject(s) - mras , control theory (sociology) , switched reluctance motor , differentiator , integrator , estimator , matlab , inductance , computer science , stator , sensitivity (control systems) , adaptive system , control engineering , torque , engineering , vector control , filter (signal processing) , induction motor , electronic engineering , mathematics , bandwidth (computing) , physics , voltage , artificial intelligence , control (management) , electrical engineering , computer network , operating system , computer vision , thermodynamics , mechanical engineering , statistics
This study deals with the unipolar excitation‐based speed sensorless vector controlled switched reluctance motor drive. For speed sensorless operation, Z‐MRAS (Z‐model reference adaptive system) based speed estimator is proposed where ‘Z’ is a fictitious quantity. This novel structure is completely independent of the stator resistance and DC component of self‐inductance. Also, in the formulation, integrator and differentiator terms are absent. The proposed formulation is perceived as stable in the entire four‐quadrant zone of operation. Detailed stability and sensitivity analysis has been carried out for the proposed estimation scheme. The practicality of the proposed formulation is confirmed through simulation in MATLAB/SIMULINK platform and by carrying out the experimentation on a dSPACE‐1104 based prototype.