A Simple and Robust Model-Based Loss Minimization Method for Direct Torque Control of Induction Motor

Across the different variety of loss decreasing methods, the loss-model-based methods (LMM) show a fast response and a low torque pulsation. Despite all the mentioned advantages, the approach needs the precise loss model and the knowledge of the motor parameters. Furthermore, the application of the model-based method is direct torque, and flux control is more complicated because the magnetic coefficients of the motor should accurately identify. In this paper, To solve the LMM's issues, a new model based approach has presented. The inaccuracy problem has fulfilled by dividing the homogenous parameters by each other. Via using this technique, the need for magnetic coefficient identification and the effect of inaccurate parameters have dwindled. Coupled with this, the requirement for computation of iron core loss coefficients have omitted by replacing of iron core loss resistance, which by this deed, in a manner, the estimation precision of iron core loss will enhance. At last, the proposed method had verified by simulation and the results are presented in table format, withal, the parameters of the simulated motor have identified by analyzing an induction motor (IM) in ANSYS Maxwell.