Robust Loss Minimization for Predictive Direct Torque and Flux Control of an Induction Motor With Electrical Circuit Model

Robust Loss Minimization for Predictive Direct Torque and Flux Control of an Induction Motor With Electrical Circuit Model

Robust Loss Minimization for Predictive Direct Torque and Flux Control of an Induction Motor With Electrical Circuit Model

Abstract: 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.

S. R. Eftekhari, S. A. Davari, P. Naderi, C. Garcia and J. Rodriguez, “Robust Loss Minimization for Predictive Direct Torque and Flux Control of an Induction Motor With Electrical Circuit Model,” in IEEE Transactions on Power Electronics, vol. 35, no. 5, pp. 5417-5426, May 2020. doi: 10.1109/TPEL.2019.2944190
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8851304&isnumber=9016288