z-logo
open-access-imgOpen Access
Improved 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 , switched reluctance motor , control theory (sociology) , vector control , computer science , reluctance motor , control engineering , induction motor , torque , engineering , physics , artificial intelligence , electrical engineering , control (management) , voltage , thermodynamics
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom