Abstract
Recently, many works have been made to improve the performance of sensorless induction motor drives. However, parameter variations and low-speed operations are the most critical aspects affecting the accuracy and stability of sensorless drives. This work presents a sensorless vector control scheme consisting of the first hand of a velocity estimation algorithm that overcomes the need for sensor velocity and secondly a robust variable structure control law that compensates for the uncertainties present in the system. Simulation results confirm the efficacy of the proposed approach.
Highlights
The induction motor (IM) is widely used in industry because of its advantages such as reliability, efficiency, and low cost in comparison to other motors used in similar application [1]
Sensorless speed FOC induction motor drive are sensitive to the motor parameter variations, especially to the stator and rotor resistances that change with temperature and skin effects, [5, 6]
This paper proposes a method for both rotor speed identification with stator and rotor resistance estimation in sensorless induction motor drives based on sliding mode observer
Summary
The induction motor (IM) is widely used in industry because of its advantages such as reliability, efficiency, and low cost in comparison to other motors used in similar application [1]. The speed sensors are not suitable under varying environmental conditions, as the measurement suffers due to large mechanical shocks It reduces the reliability and increases the cost of the drive. Sensorless speed FOC induction motor drive are sensitive to the motor parameter variations, especially to the stator and rotor resistances that change with temperature and skin effects, [5, 6]. When a very high accuracy is desired, the performance of speed estimation is not good at low speeds, [7, 8, 9] To solve this problem, this paper proposes a method for both rotor speed identification with stator and rotor resistance estimation in sensorless induction motor drives based on sliding mode observer.
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