Abstract
In this paper, a model-based predictive rotor field-oriented angle compensation approach is proposed for induction machine drives. Indirect rotor field-oriented control is widely used in induction machine drives for its simple implementation and low cost. However, the accuracy of the rotor field-oriented angle is affected by variable parameters such as the rotor resistance and inductance. An inaccurate rotor field-oriented angle leads to a degradation of the torque and dynamic performance, especially in the high-speed flux-weakening region. Therefore, the d-axis and q-axis currents in the rotation reference frame are predicted based on the model and compared with the feedback current to correct the rotor field-oriented angle. To improve the stability and robustness, the proposed predictive algorithm is based on the storage current, voltage, and velocity data. The algorithm can be easily realized in real-time. Finally, the simulated and experimental results verify the algorithm’s effectiveness on a 7.5 kW induction machine setup.
Highlights
The rotor field-oriented method based on the integration of the rotor angular velocity and rotor slip angular velocity in Indirect rotor field-oriented control (IRFOC) is affected by variations in parameters such as the rotor resistance
Simulations were performed in the below-based speed region and the field-weakening region based on the IRFOC with a speed sensor
Where θr is the rotor field angle, ωr is the actual electric angular velocity of the rotor, which can usually be obtained with a photoelectric encoder or rotating transformer, ωsl is the slip angular velocity, tr is the rotor time constant and tr = Lr /Rr
Summary
Indirect rotor field-oriented control (IRFOC) is widely used in induction machine drives because of its high performance in the base speed and field-weakening region. Solutions to address the parameter sensitivity problem in speed sensorless control of induction machines have been proposed, such as a sliding mode observer [12,13,14,15], a low-pass filter [16], square-wave voltage injection [17], and model reference adaptive control [18]. These algorithms require considerable computational resources and mainly aim to reduce the risk of instability phenomena. A compensation approach based on a model predictive algorithm of the rotor field-oriented angle error is proposed for IRFOC of induction machines.
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