A finite horizon cascaded nonlinear predictive control of induction motor

In this paper the optimal nonlinear predictive control in cascaded structure design of induction motors is presented which provides global asymptotic tracking of smooth speed and flux trajectories. The controller is based on a finite horizon continuous time minimization of nonlinear predicted tracki...

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Bibliographic Details
Main Authors: Hedjar, R., Toumi, R., Boucher, P., Dumur, D.
Format: Conference Proceeding
Language:English
Subjects:
Asymptotic properties
Cascaded structure
Disturbances
induction motor
Induction motors
Mathematical analysis
Mathematical model
Nonlinearity
optimal nonlinear predictive control
Optimization
Predictive control
Robustness
Rotors
Stators
Torque
Tracking
Trajectory
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Description
Summary:In this paper the optimal nonlinear predictive control in cascaded structure design of induction motors is presented which provides global asymptotic tracking of smooth speed and flux trajectories. The controller is based on a finite horizon continuous time minimization of nonlinear predicted tracking errors. With full state measurement assumption, the robustness properties with respect to electrical parameter variations and load disturbance is presented. Finally computer simulations show the flux-speed tracking performances and the disturbance rejection capabilities of the proposed controller in the nominal and mismatched parameters case.
DOI:10.23919/ECC.2001.7075882