Assessment of a fuzzy logic based MRAS observer used in a photovoltaic array supplied AC drive

Abstract

In this paper a fuzzy logic (FL) based model reference adaptive system (MRAS) speed observer for high performance AC drives is proposed. The error vector computation is made based on the rotor-flux derived from the reference and the adaptive model of the induction motor. The error signal is processed in the proposed fuzzy logic controller (FLC) for speed adaptation. The drive employs an indirect vector control scheme for achieving a good closed loop speed control. For powering the drive system, a standalone photovoltaic (PV) energy source is used. To extract the maximum power from the PV source, a constant voltage controller (CVC) is also proposed. The complete drive system is modeled in MATLAB/Simulink and the performance is analyzed for different operating conditions.

Keywords

induction motor drive / fuzzy logic (FL) control / model reference adaptive system (MRAS) / photovoltaic (PV) array / vector control

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2014 Higher Education Press and Springer-Verlag Berlin Heidelberg