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Speed sensorless model predictive current control of doubly-fed induction machine drive using model reference adaptive system
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DOI：10.1016/j.isatra.2018.10.025.png)
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Abstract
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This paper presents a speed sensorless control scheme named as finite control set-model predictive current control (FCS-MPCC) using a modified fictitious ohmic quantity (R) based model reference adaptive system (MRAS) for grid-connected doubly-fed induction machine (DFIM) drive. The variables of the reference model of this speed sensorless scheme (R-MRAS) are represented in stationary reference frame while those for the adaptive model are denoted in synchronously rotating reference frame. The sensorless formulation thus obtained is completely independent of any stator/rotor resistance terms. The scheme is also devoid of any stator/rotor flux estimation. Moreover, the intuitiveness of FCS-MPCC brings in additional flexibility in comparison to the conventional control techniques like field oriented control (FOC) and direct torque control (DTC). The overall scheme demonstrates faster execution time than FOC/DTC based control of DFIM drive. The proposed control algorithm is simulated and tested for limited speed range application in MATLAB/Simulink. The validation of simulation results are further done by experimentation on a dSPACE-1103 based DFIM laboratory setup. (C) 2018 ISA. Published by Elsevier Ltd. All rights reserved.
Keywords:
Doubly-fed induction machine (DFIM)
Sensorless
Model reference adaptive system (MRAS)
Finite control set-model predictive current control (FCS-MPCC)
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