Abstract:

The paper presents two fuzzy logic control
algorithms: type-1 and type-2. These two nonlinear techniques
are used for adjust the speed control with a direct stator flux
orientation control of a doubly fed induction motor. The
effectiveness of the proposed control strategy is evaluated
under different operating conditions such as of reference speed
and for load torque step changes at nominal parameters and in
the presence of parameter variation (stator resistance, rotor
resistance and moment of inertia). The results of the simulation
of the doubly fed induction motor velocity control have shown
that fuzzy type-2 ensures better dynamic performances with
respect to fuzzy type-1 control, even by parametric variations
and external disturbances.
I