Model-Based Predictive Rotor Field-Oriented Angle Compensation for Induction Machine Drives

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.

The Performance of Induction Machines

“…Eleven scientific papers were collected in this Special Issue [1][2][3][4][5][6][7][8][9][10][11]. These papers concern many aspects of the theory, design, control, optimization, supervision, and use of induction machines (IMs).…”

“…The next contribution [7] presents a predictive rotor field-oriented angle compensation approach for IM drives. The algorithm proposed here makes it possible to improve the traditionally used algorithms for controlling IMs, which are very sensitive to changes in the resistance and impedance of the machine circuit.…”