Simulation of Speed Sensorless Direct Field-Oriented Control for Induction Motors
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In modern electrical engineering, induction motors represent one of the most widely utilized motor types. Traditional induction motor control typically requires speed controllers to maintain constant rotational velocity, which necessitates speed sensors for real-time motor speed monitoring. Recently, an advanced control technique called speed sensorless direct field-oriented control has been developed. This innovative approach combines model predictive control with field-oriented control principles, enabling precise motor regulation without external speed sensors. The implementation typically involves rotor flux estimation algorithms using voltage and current measurements, with model predictive controllers optimizing switching states for power converters. In this study, we present this cutting-edge technology and validate its performance through comprehensive MATLAB/Simulink simulations demonstrating dynamic response and stability under various operating conditions.
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