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: Conference contribution

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 originalEnglish
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
EstadoPublished - 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

Conference

Conference2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2019
PaísChina
CiudadQuanzhou
Período31/05/192/06/19

Huella dactilar

Induction Machine
Torque control
Sliding Mode
Torque
Adaptive systems
Reference Model
Adaptive Systems
Rotor
Rotors
Robustness
Dynamic Performance
Control Strategy
Observer
Estimator
Methodology
Experimental Results
Estimate

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization

Citar esto

Xie, H., Chen, Q., Tang, Y., Kennel, R., Wang, F., Xia, A., ... 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
Xie, Haotian ; Chen, Qing ; Tang, Ying ; Kennel, Ralph ; Wang, Fengxiang ; Xia, Anjun ; Zhang, Zhenbin ; Rodriguez, Jose. / Sliding-mode mras based encoderless predictive torque control for induction machine. Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics. Institute of Electrical and Electronics Engineers Inc., 2019. (Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics).
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title = "Sliding-mode mras based encoderless predictive torque control for induction machine",
abstract = "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.",
keywords = "Induction machine, MRAS, Predictive torque control, Sliding mode",
author = "Haotian Xie and Qing Chen and Ying Tang and Ralph Kennel and Fengxiang Wang and Anjun Xia and Zhenbin Zhang and Jose Rodriguez",
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language = "English",
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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., 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2019, Quanzhou, China, 31/05/19. https://doi.org/10.1109/PRECEDE.2019.8753190

Sliding-mode mras based encoderless predictive torque control for induction machine. / Xie, Haotian; Chen, Qing; Tang, Ying; Kennel, Ralph; Wang, Fengxiang; Xia, Anjun; Zhang, Zhenbin; Rodriguez, Jose.

Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics. Institute of Electrical and Electronics Engineers Inc., 2019. 8753190 (Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics).

Resultado de la investigación: Conference contribution

TY - GEN

T1 - Sliding-mode mras based encoderless predictive torque control for induction machine

AU - Xie, Haotian

AU - Chen, Qing

AU - Tang, Ying

AU - Kennel, Ralph

AU - Wang, Fengxiang

AU - Xia, Anjun

AU - Zhang, Zhenbin

AU - Rodriguez, Jose

PY - 2019/5/1

Y1 - 2019/5/1

N2 - 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.

AB - 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.

KW - Induction machine

KW - MRAS

KW - Predictive torque control

KW - Sliding mode

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DO - 10.1109/PRECEDE.2019.8753190

M3 - Conference contribution

T3 - Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics

BT - Proceedings - PRECEDE 2019

PB - Institute of Electrical and Electronics Engineers Inc.

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Xie H, Chen Q, Tang Y, Kennel R, Wang F, Xia A y otros. 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. Institute of Electrical and Electronics Engineers Inc. 2019. 8753190. (Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics). https://doi.org/10.1109/PRECEDE.2019.8753190