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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15001

Title: End point constraints nonlinear predictive with integral action for induction motor
Authors: R. Hedjar
R. Toumi
P. Boucher
D. Dumur
Issue Date: 2004
Publisher: IEEE Xplore
Abstract: In this paper the optimal nonlinear predictive control law is presented with application to induction motors in cascade structure. Both speed and torque/flux tracking objectives are achieved in matched and mismatched case. An integral action is introduced in external loop to improve the robustness with respect to load torque variations. The rotor flux is estimated by the Kalman filter. Simulations show the flux-speed tracking performances and the disturbance rejection capabilities of the proposed controller, which is suitable for high dynamic performance applications.
URI: http://hdl.handle.net/123456789/15001
Appears in Collections:College of Computer and Information Sciences

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