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The merits of the proposed controllers are illustrated by considering a model of the induction motor control system and a higher-order numerical model.
The function of Fuzzy-PID controllers is illustrated by means of a model of the induction motor control system and a higher-order numerical model.
The stator currents subsystem is a vital element of many high-performance induction motor control schemes.
The use of inverters in induction motor control has reduced classical motor faults, such as broken rotor bars or windings short-circuit, besides improving control performance.
A robust induction motor control should provide the desired performance in the face of both plant model and controller model uncertainty.
for attaining robust performance of the main operating modes tracking and disturbance rejection of an induction motor control system under implementation constraints on the control signal magnitude.
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This paper presents an inherent speed estimation scheme associated to the Indirect Field Oriented Control in case of Induction motor sensorless control.
Table 3 shows the decrease of simulation time afforded by the free-running mode for the induction motor vector control.
Section 6 takes the induction motor vector control algorithm as an application basis to demonstrate the usefulness of the chosen FPGA-based SoC platform to design/verify on-chip motion controllers.
A novel version of nonlinear induction motors (IM) control algorithm based on the backstepping approach has been proposed in this work.
The performance of the neural network based estimator is investigated with simulations for variations in the rotor resistance from their nominal values, with both speed and load torque disturbances.In this paper, adaptive speed control of induction motor using neural network inverse control scheme are proposed.
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