AI Summary & Key Takeaways
AI InsightThe proposed system results in improved dynamic response, minimized torque ripple, and fast convergence.
📌 3 Key Takeaways
Abstract
The demand for very efficient and top-performing power converters and drives is rising, which requires a new controlling strategy for the drive system. The induction motor (IM) and quasi-ZSI (q-ZSI) have elicited increasing interest in electric vehicle (EV) applications due to their unique features and benefits. However, it requires a perfect controlling scheme to reduce torque ripple and achieve a fast and dynamic IM response. The study in this paper has been carried out on a q-ZSI (impedance source inverter)-supplied IM drive. The PI controller, together with a fuzzy logic controller (FLC), is used as a speed regulator. The FLC with speed regulation reduces the torque ripple and SMC chattering of the IM. The sliding mode controller (SMC) replaces the two current PI controllers of indirect field-oriented control (IFOC). The proposed hybrid control strategy FLC–SMC–IFOC is implemented for the IM drive. The control system is implemented on the MATLAB/Simulink software and the results are compared with the conventional IFOC control. The proposed system results in improved dynamic response, minimized torque ripple, and fast convergence.