New approach of optimized SHE modulation using genetic algorithm for three-phase half-bridge converter

One of the challenges of the Selective Harmonic Elimination Pulse Width Modulation (SHE-PWM) method is to solve the system of nonlinear equations to extract the switching angles. In the conventional approach, using Newton-Raphson equations, guessing initial values for the algorithm is difficult, as choosing incorrect initial values may lead to algorithm divergence. Therefore, the genetic algorithm is used to obtain the required initial values in the Newton-Raphson method, which reduces the number of iterations in calculating the desired values. This paper introduces a method for using the SHE-PWM technique for a wide range of modulation index to obtain a high-quality output waveform in a three-level three-phase inverter. This Technique reduces additional hardware and decreases design costs. The proposed strategies are tested by simulation in MATLAB-Simulink. The results indicate a significant improvement in the quality of the output waveform, a reduction in algorithm iterations, and its convergence.