Deadbeat-Based Predictive Control with Virtual Voltage Vectors for Power Quality Improvement in a Six-Phase Induction Motor Drive

Six-phase induction motor (۶PIM) drives have attracted attention in critical industrial applications due to advantages such as high fault tolerance and suitable power density. However, the existence of the xy harmonic subspace with very low leakage inductance leads to high-amplitude harmonic currents and power quality degradation. This paper presents a deadbeat-based predictive control strategy with virtual voltage vectors (DB-VV-MPC) for effective suppression of xy harmonics and power quality improvement. In the proposed method, a deadbeat controller analytically calculates the reference voltage required for current tracking in the aẞ subspace without numerical search. Then, using ۱۲ virtual voltage vectors that inherently possess zero xy component, this reference voltage is synthesized. A multi-objective cost function with adaptive weighting factors establishes an optimal trade-off between aẞ current tracking and xy harmonic suppression. Simulation results in MATLAB/Simulink on a ۵.۵ kW six-phase induction motor demonstrate a ۲۱.۶% improvement in current THD (from ۷.۴% to ۵.۸% at rated speed) and a ۲۱.۶% reduction in the fifth harmonic amplitude compared to the conventional finite-control-set model predictive control (FCS-MPC). The weighted harmonic index (WHI) reaches ۱.۸۲ with a ۲۲.۶% improvement. While maintaining fast dynamic response, this method significantly improves power quality and eliminates the need for additional passive filters.

کلیدواژه ها:

Predictive control ، virtual voltage vectors ، power quality ، six-phase induction motor ، total harmonic distortion (THD)