چكيده به لاتين
This thesis uses a model-based loss minimization algorithm; Therefore, a comprehensive and accurate dynamic model is needed, which also includes iron losses. After providing a comprehensive induction motor model, the vector control method is fully explained by considering the iron losses along with the corresponding block diagram. The principles of operation of this method are obtained by aligning the d-axis of the synchronous reference frame with the rotor flux vector. The control variables in this method are the magnetization currents of the d and q axes, where the d-axis current refers to the component of the reference flux and the q-axis current refers to the component of the reference torque. The proposed loss minimization algorithm for the induction motor, which is efficient at low speed and torque, is described using the motor model. The losses of the induction motor are written only in terms of the magnetization current of d-axis, the proposed control system using it and the different feedbacks to calculates the optimal value of the rotor flux. Also, the model-predictive control is explained to implement the proposed loss minimization algorithm. Due to the increasing order of the induction motor, in this thesis according to the euler backward equation, the second - order predictive control method is used. The proposed loss minimization algorithm uses motor parameters to obtain the optimal flux; Therefore, the sensitivity of the proposed loss minimization algorithm to motor parameters is theoretically investigated
