Improved speed sensorless control for induction motor drives using rotor flux angle estimation

• Дата: 2025
• Автори: Tran, C. D., Kuchar, M., Nguyen, P. D.
• Формат: Стаття
• Мова: English
• Опубліковано: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2025
• Теми: induction motor drive; field-oriented control; model reference adaptive system; stator resistance
• Онлайн доступ: http://eie.khpi.edu.ua/article/view/323045
• Назва журналу: Electrical Engineering & Electromechanics

Introduction. In the typical field-oriented control (FOC) method, the variation of machine resistance is not considered when calculating the rotor flux angle. This omission affects the accuracy of the control method during motor operation, leading to potential performance degradation. Problem. Neglecting stator resistance variations in the voltage model-based FOC technique can cause rotor flux angle estimation deviation. This inaccuracy impacts motor speed control, especially under varying operating conditions where resistance changes due to temperature fluctuations. Goal. This paper aims to improve the accuracy of rotor flux angle estimation in the voltage model-based FOC technique by incorporating a real-time stator resistance estimation process. Methodology. The proposed research integrates a model reference adaptive system to estimate the stator resistance and replaces the rated resistance value in the rotor flux angle calculation algorithm of the FOC technique. The effectiveness of the method is evaluated by using MATLAB/Simulink simulations, where the estimated resistance value is compared with the actual resistance value, and the motor speed control performance is analyzed. Simulation results demonstrate that the proposed method significantly enhances the accuracy of rotor flux angle estimation by adapting to changes in stator resistance. This improvement ensures better motor speed control performance, reducing deviations between the actual and reference speeds under different operating conditions. Scientific novelty of this research lies in integrating real-time stator resistance estimation into the rotor flux angle calculation process of the voltage model-based FOC technique, addressing a key limitation in typical FOC approaches. Practical value. By improving the accuracy of rotor flux angle estimation, the proposed method enhances the stability and efficiency of motor speed control. This ensures better performance in industrial applications where precise motor control is essential under varying operating conditions. References 27, figures 11.