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
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
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
UR - http://www.scopus.com/inward/record.url?scp=85069455356&partnerID=8YFLogxK
U2 - 10.1109/PRECEDE.2019.8753190
DO - 10.1109/PRECEDE.2019.8753190
M3 - Conference contribution
AN - SCOPUS:85069455356
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.
T2 - 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2019
Y2 - 31 May 2019 through 2 June 2019
ER -