Model Predictive Control for Doubly-Fed Induction Generators and
Three-Phase Power Converters describes the application of model
predictive control techniques with modulator and finite control
sets to squirrel cage induction motor and in doubly-fed induction
generators using field orientation control techniques as both
current control and direct power control. Sections discuss
induction machines, their key modulation techniques, introduce the
utility of model predictive control, review core concepts of vector
control, direct torque control, and direct power control alongside
novel approaches of MPC. Mathematical modeling of cited systems,
MPC theory, their applications, MPC design and simulation in MATLAB
are also considered in-depth. The work concludes by addressing
implementation considerations, including generator operation under
voltage sags or distorted voltage and inverters connected to the
grid operating under distorted voltage. Experimental results are
presented in full.
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