Study on Predicting Induction Motor Characteristics of Alternate QD Model Under Light Loads by Comparing Performance of MTPA Control

Abstract

This study investigates a high-accuracy alternate QD model to estimate the characteristics of induction motor under light loads. To demonstrate the usefulness of the alternate QD model, a maximum torque per amp (MTPA) control based on the alternate model is shown to outperform MTPA control based on the standard QD model. The experimental study conducted in this work exhibits that the MTPA control based on the alternate QD model tracks torque commands between 20 Nm and 30 Nm with 5% error, whereas the MTPA control based on the standard QD model generates torques lower by over 23% compared with the aforementioned torque commands. This result indicates that the alternate QD model is a highly accurate model for induction motors under light loads. [11] . 이러한 대안모델에 대한 특성절차의 복잡성을 개선하 기 위해, 기본주파수에 대한 응답특성과 회전자구속 상 태에서의 주파수 응답특성을 구하는 두가지 절차로 간 소화한 후 유전자 알고리즘을 활용하여 다수의 파라미