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

Mohamad-Amine Fnaiech (1) , Franck Betin (1) , Farahat Fnaiech (1) , Babak Nahid-Mobarakeh (2) , Gérard-André Capolino (1)

1 CREA - Centre de Robotique, d'Electrotechnique et d'Automatique
2 GREEN - Groupe de Recherche en Electrotechnique et Electronique de Nancy

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 threephase 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

Domaines: Energie électrique

Mohamad-Amine Fnaiech, Franck Betin, Farahat Fnaiech, Babak Nahid-Mobarakeh, Gérard-André Capolino. A DSP-Based Implementation of a Nonlinear Optimal Predictive Control for Induction Machine. 32nd Annual Conference of IEEE Industrial Electronics (IECON 2006), Nov 2006, Paris, France. pp.1137 à 1142. ⟨hal-00164344⟩