Adaptive nonlinear generalized predictive controller for induction motor drives

Abstract EN

The paper deals with the application of Direct Adaptive Nonlinear Generalized Predictive Control DANGPC method to an induction motor drive.

The proposed approach is applied to overcome time-varying parameters effects namely the inertia moment and friction coefficient of the linearized speed loop and to increase the tracking performance.

The used algorithm does not need the knowledge of system parameters.

Simulation results demonstrate the robustness against parameter variations, and a higher dynamic behavior is obtained when compared to Nonlinear Predictive Control NGPC version.