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Fuzzy Adaptive Controller
for a DFI-Motor
Na
mane Bounar, Abdesselem Boulkroune and Fares Boudjema
รข
Abstract This chapter mainly deals with the fuzzy adaptive backstepping control
(FABC) design of a doubly-fed induction motor (DFI-Motor). The proposed con-
troller guarantees speed tracking and reactive power regulation at stator side. The
DFI-Motor is controlled by acting on the rotor winding and its stator is directly
connected to the grid. In the controller designing, a state-all-
ux DFI-Motor model
with stator voltage vector oriented reference frame is exploited. Our approach is
based on the decomposition of the motor model in two coupled subsystems; the
stator
fl
flux subsystems. Under some considerations on the
system model, the DFI-Motor unity power factor control and speed tracking
problem is transferred to the rotor
fl
ux and the speed-rotor
fl
flux control problem. In our control approach, the
unknown load torque is estimated on-line by a suitable adaptive law and the
nonlinear functions appearing in the tracking errors dynamics and uncertainties are
reasonably approximated by adaptive fuzzy systems. A rigorous stability analysis
based on Lyapunov theory is performed to guarantee that the complete control
system is asymptotically stable. Furthermore, numerical simulation results are
provided to verify the effectiveness of the proposed FABC approach.
fl
Keywords Doubly-fed induction motor
Backstepping approach
Fuzzy adaptive
control
Complex nonlinear systems
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