Sliding-mode mras based encoderless predictive torque control for induction machine

Haotian Xie, Qing Chen, Ying Tang, Ralph Kennel, Fengxiang Wang, Anjun Xia, Zhenbin Zhang, Jose Rodriguez

Resultado de la investigación: Contribución a los tipos de informe/libroContribución a la conferencia

Resumen

This paper presents a sliding-mode (SM) model reference adaptive system (MRAS) observer for predictive torque control (PTC) in the induction machine drives. The PTC scheme is one of the most promising control strategy for electrical drives. However, its performance is constrained due to the accuracy of parameter and speed estimation. The proposed SM MRAS is employed to estimate rotor speed for PTC. The dominant feature of the methodology is that the adjustable model is modified by a sliding manifold in accordance with the error signal. Compared with conventional MRAS, the proposed method is more robust and easily tuned. To enhance robustness of the PTC scheme to the parameter variation, the extended rotor resistance compensation is employed in the estimator. In this paper, the experimental results confirm that the proposed method achieves fast dynamic performance and strong robustness.

Idioma originalInglés
Título de la publicación alojadaProceedings - PRECEDE 2019
Subtítulo de la publicación alojada2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781538694145
DOI
EstadoPublicada - 1 may 2019
Evento2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2019 - Quanzhou, China
Duración: 31 may 20192 jun 2019

Serie de la publicación

NombreProceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics

Conferencia

Conferencia2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2019
PaísChina
CiudadQuanzhou
Período31/05/192/06/19

Áreas temáticas de ASJC Scopus

  • Ingeniería eléctrica y electrónica
  • Ingeniería mecánica
  • Control y optimización

Huella Profundice en los temas de investigación de 'Sliding-mode mras based encoderless predictive torque control for induction machine'. En conjunto forman una huella única.

  • Citar esto

    Xie, H., Chen, Q., Tang, Y., Kennel, R., Wang, F., Xia, A., Zhang, Z., & Rodriguez, J. (2019). Sliding-mode mras based encoderless predictive torque control for induction machine. En Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics [8753190] (Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PRECEDE.2019.8753190