Mantis Search Algorithm Based SHEPWM for Five-Phase Multilevel Inverter
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Abstract
Large electric vehicles are being introduced as replacements for conventional heavy internal combustion engine (ICE) vehicles, aiming to mitigate environmental concerns. Five-phase electric motors are suggested as propulsion units in these vehicles due to their advantages in torque smoothness and fault tolerance. Driving electric motors requires converting DC power into AC using power converters. Among the available options, multilevel inverters (MLIs) are one option that suits this power conversion process. Compared to a conventional two-level inverter, the MLI offers the advantages of producing low-distortion output AC voltage with lower voltage stress on power switches and higher overall efficiency. However, determining the switching angles for the MLI is challenging. In this work, mantis search algorithm (MSA)-based selective harmonic elimination pulse width modulation (SHEPWM) technique is proposed to compute the switching angles for a five-phase MLI. The MSA-SHEPWM method is compared to that of genetic algorithm (GA) and particle swarm optimization (PSO) in terms of the objective function. The switching angles obtained using MSA-SHEPWM are capable of producing a low-distorted AC output voltage, in which the desired fundamental voltage is sustained while undesired low-order harmonics are successfully minimized. The effectiveness of the proposed algorithm has been validated through MATLAB and PSIM simulations.
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