Raúl Gregor, Jorge Rodas, Derlis Gregor and Federico Barrero (2015). Reduced-order Observer Analysis in MBPC Techniques Applied to the Six-phase Induction Motor Drives, Induction Motors - Applications, Control and Fault Diagnostics, Dr. Raul Gregor (Ed.), ISBN: 978-953-51-2207-4, InTech, DOI: 10.5772/60778. Available from: http://www.intechopen.com/books/induction-motors-applications-control-and-fault-diagnostics/reduced-order-observer-analysis-in-mbpc-techniques-applied-to-the-six-phase-induction-motor-drivesModel-based predictive control techniques have been recently applied with success
in power electronics, particularly in the fields of current control applied to AC
multiphase electrical drives. In AC electrical drives control, most of state variables
(i.e., rotor currents, rotor fluxes, etc.) cannot be measured, so they must be estimated.
As a result of this issue, this chapter proposes a comparative study of reduced-order
observers used to estimate the rotor currents in an model-based predictive current
control applied to the six-phase induction motor. The proposed control techniques
are evaluated using the Luenberger observer and the optimal estimator based on
Kalman filter. Different operation modes are analyzed and are further compared in
terms of statistical parameters of performance (i.e., covariance, standard deviation,
mean square error, etc.). The effectiveness of proposed methods is verified by a set
of comparative experiments obtained by using a six-phase induction motor system
experimental setup
