Circulating Current Control on Asymmetrical Six‐Phase Induction Motor Using an Optimized Predictive Controllers

Multi‐phase machines have gained significant attention due to their superior performance in reducing torque ripple and ensuring high reliability, making them suitable for industrial applications. However, challenges such as circulating current, computational burden, and variable switching frequency have reduced the overall performance of multi‐phase machines. This paper addresses these limitations by proposing a model predictive control‐based two‐degree‐of‐freedom controller (MPC‐2DFC) integrated with the gain sharing knowledge‐based optimization (GSKBO) algorithm. The GSKBO algorithm optimally selects voltage vectors, significantly reducing computational complexity, while the cascaded fractional order dual proportional resonant controller (CFODPRC) effectively minimizes circulating current. Additionally, a level phase‐shifted pulse width modulation (LPS‐PWM) technique is implemented to feed pulsating signals to the PV‐operated inverter, ensuring efficient power conversion. Simulation results demonstrate that the proposed method achieves a total harmonic distortion (THD) of 2.57%, outperforming conventional methods in terms of computational efficiency and current control. The findings indicate that the proposed MPC‐2DFC controller is a good solution for enhancing the performance and reliability of multi‐phase machines.