An offline parameter identification method of induction motor

For the high-performance sensor-less vector control of an induction motor, the accuracy of the motor parameters has an important impact on the performance of the whole system. In this paper, we propose a novel method for the offline identification of motor parameters. In our method, first we use DC or single phase AC as an excitation signals. Then we measure the voltage of DC bus and current of stator on condition that the motor is at standstill. We analyze the obtained data by means of voltage reconstruction and FFT. Finally we simplify the T-form equivalent circuit and estimate the motor parameters based on the stable mathematical model. Moreover, we give an identification error analysis from three aspects, dead time, diode voltage drop and phase lagging. The effectiveness of our method is demonstrated by both simulation and experimental results.