TY - JOUR
T1 - Robust Loss Minimization for Predictive Direct Torque and Flux Control of an Induction Motor with Electrical Circuit Model
AU - Eftekhari, Seyed Rasul
AU - Davari, S. Alireza
AU - Naderi, Peyman
AU - Garcia, Cristian
AU - Rodriguez, Jose
N1 - Funding Information:
Manuscript received April 22, 2019; revised July 25, 2019; accepted September 22, 2019. Date of publication September 26, 2019; date of current version February 11, 2020. The work of C. Garcia and J. Rodriguez was supported by the CONICYT/FONDECYT through Projects FB0008, 1170167, 11180233, and 11180235. Recommended for publication by Associate Editor D. Zhang. (Corresponding author: S. Alireza Davari.) S. R. Eftekhari, S. A. Davari, and P. Naderi are with the Faculty of Electrical and Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, 1678815811, Iran (e-mail: [email protected]; [email protected]; [email protected]).
Publisher Copyright:
© 1986-2012 IEEE.
PY - 2020/5
Y1 - 2020/5
N2 - The loss model of an induction motor based on the electric circuit is known as the more comfortable model to be identified compared to the magnetic model. This model is commonly used for field-oriented control rather than direct torque control (DTC). In the recent research for applying the electric loss model for flux optimization, the core loss resistance current is ignored, since it will reduce the robustness and accuracy of the model. In this article, it is analytically proved that considering that current will reduce the sensitivity significantly. Thus, a robust loss model based on a complete electric circuit is proposed for flux optimization in predictive torque and flux control. The predictive method had been chosen because of the fast dynamic response. In order to avoid computation increase, the predictive direct voltage control is used. The validity of the proposed method is studied via experimental results.
AB - The loss model of an induction motor based on the electric circuit is known as the more comfortable model to be identified compared to the magnetic model. This model is commonly used for field-oriented control rather than direct torque control (DTC). In the recent research for applying the electric loss model for flux optimization, the core loss resistance current is ignored, since it will reduce the robustness and accuracy of the model. In this article, it is analytically proved that considering that current will reduce the sensitivity significantly. Thus, a robust loss model based on a complete electric circuit is proposed for flux optimization in predictive torque and flux control. The predictive method had been chosen because of the fast dynamic response. In order to avoid computation increase, the predictive direct voltage control is used. The validity of the proposed method is studied via experimental results.
KW - Efficiency optimization
KW - induction motor
KW - iron core loss resistance
KW - loss minimization
KW - predictive control
KW - real-time implementation
UR - http://www.scopus.com/inward/record.url?scp=85080968956&partnerID=8YFLogxK
U2 - 10.1109/TPEL.2019.2944190
DO - 10.1109/TPEL.2019.2944190
M3 - Article
AN - SCOPUS:85080968956
SN - 0885-8993
VL - 35
SP - 5417
EP - 5426
JO - IEEE Transactions on Power Electronics
JF - IEEE Transactions on Power Electronics
IS - 5
M1 - 8851304
ER -