Discrete-Time Neural Block Control Using Sliding Modes for Induction Motors with Gears

Abstract This paper proposes a control scheme based on discrete-time block control technique using sliding modes, for a system composed of a three-phase rotatory induction motor when includes a gear. The goal is tracking position trajectory. A recurrent high order neural network (RHONN) is used to identify the system, which is trained with an Extended Kalman Filter (EKF) algorithm. Its performance is illustrated via simulations.

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