Abstract
The paper describes speed estimators for a speed sensorless induction motor drive with the direct torque and flux control. However, the accuracy of the direct torque control depends on the correct information of the stator resistance, because its value varies with working conditions of the induction motor. Hence, a stator resistance adaptation is necessary. Two techniques were developed for solving this problem: model reference adaptive system based scheme and artificial neural network based scheme. At first, the sensorless control structures of the induction motor drive were implemented in Matlab-Simulink environment. Then, a comparison is done by evaluating the rotor speed difference. The simulation results confirm that speed estimators and adaptation techniques are simple to simulate and experiment. By comparison of both speed estimators and both adaptation techniques, the current based model reference adaptive system estimator with the artificial neural network based adaptation technique gives higher accuracy of the speed estimation.
Highlights
The control and estimation of induction motor drives is almost an unbounded subject, and the technology has been developing very strong in last few decades
This feed-forward neural network has three layers: The designed control algorithms were simulated in senone input layer with three neurons
The Model Reference Adaptive System (MRAS)-based speed sensorless induction motor drive with the direct torque control was presented in the paper
Summary
The control and estimation of induction motor drives is almost an unbounded subject, and the technology has been developing very strong in last few decades. The Direct Torque and Flux control (DTC) has comparable performance with the vector control. In this control scheme, the torque and the stator flux are controlled by selecting voltage space vector of the inverter through a look-up table. The stator voltages and stator currents are used for obtaining rotor flux vector components. These components of the estimated rotor flux vector can be gotten from stator currents together with the exact value of rotor speed
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