Genetic Algorithm for Selective Harmonic Elimination PWM Control

The paper presents an optimal solution for eliminating pre-specified order of harmonics from three-phase inverter. One solution to this problem is the selective harmonic elimination, which is required to solve multiple nonlinear equations simultaneously. Genetic algorithm (GA) technique is introduced to minimize the computational burden associated with the nonlinear transcendental equations of the Selective harmonic elimination pulse-width modulation (SHE-PWM) method and initial values are not properly guessed. However, the convergence speed is relatively slow and code length has great influence on the accuracy. In this paper, the hybrid GA method based on the refinement of the genetic algorithms results through the Newton-Raphson method was used to simultaneously solve the nonlinear equations. Simulation research on harmonic elimination model was carried out by Matlab software. The results show a considerable effect on decrease in the total harmonic distortion. The proposed algorithm could calculate switching angles efficiently resulting in fast convergence.