A DSP-Based Implementation of a Nonlinear Optimal Predictive Control for Induction Machine

In this paper an optimal nonlinear multiple-input multiple-output (MIMO) predictive control approach is applied to control the flux and the rotor position of a three-phase induction machine. For this, a nonlinear induction machine model is elaborated in the synchronous d-q frame rotating with electr...

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Bibliographic Details
Published inIECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics pp. 1137 - 1142
Main Authors Fnaiech, M.A., Betin, F., Fnaiech, F., Nahid, B., Capolino, G.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2006
Subjects
DSP
Electromagnetic fields
Electromagnetic modeling
Induction machine
Induction machines
MIMO
Optimal control
Optimal predictive control
Predictive control
Predictive models
Robust control
robustness
Stability
Voltage control
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Summary:In this paper an optimal nonlinear multiple-input multiple-output (MIMO) predictive control approach is applied to control the flux and the rotor position of a three-phase induction machine. For this, a nonlinear induction machine model is elaborated in the synchronous d-q frame rotating with electromagnetic field. Then, the outputs are predicted over a predefined prediction horizon. The design of the proposed predictive control law is based on the minimization of a quadratic criteria. The control voltages are being smooth and guarantee the stability of the control loop regarding parameter variations. Simulations and experimental results highlight the robustness of the proposed nonlinear optimal predictive control
ISSN:1553-572X
DOI:10.1109/IECON.2006.347643