Chien, Siong Kai (2023) An artificial neural network direct torque control of induction motor using multilevel inverter for total harmonic distortion minimization. Masters thesis, Universiti Tun Hussein Onn Malaysia.

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Abstract

Direct Torque Control (DTC) is a method applied in Induction Motor (IM) drives to control the speed and torque of IM accurately and independently without a feedback signal. However, in Fast Fourier Transform (FFT) analysis, the Total Harmonic Distortion (THD) of the IM drives is high in the DTC method with a Conventional Inverter (CI). Therefore, a DTC IM drive with multilevel inverter (MLI) is proposed in this study with the aim of reducing THD without affecting the drive’s performance, and preserve good speed and torque response of IM simultaneously. The proposed DTC IM drive with MLI based THD minimization has several advantages over the DTC IM drive with CI, including higher generated output voltage with low distortion, operation under low switching frequency, and working with renewable energy. In order to validate the effectiveness of the proposed MLI based THD minimization in DTC IM drive, MATLAB Simulink is used to investigate the response of the IM drive and THD under different operating conditions. Furthermore, the result from MATLAB Simulink is further verified by using real-time simulation of Typhoon HIL 402. From this study, the proposed MLI based THD minimization DTC IM drive is able to reduce THD with a maximum of 14% in low speed operation, 11% in medium speed operation and 2% in high speed operation as compared to DTC IM drive with CI. Therefore, the proposed MLI based THD reduction DTC IM drive shows the effectiveness of the proposed MLI in reducing the THD of the IM drive.

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