She PWM in Single Phase Matrix Converter using Real Coded Genetic Algorithm and Particle Swarm Optimization Techniques
نویسنده
چکیده
In this paper, selective harmonic elimination pulse width modulation (SHEPWM) using Real Coded Genetic Algorithm (RGA) and Particle Swarm Optimization technique (PSO) for single phase Matrix converter is developed and discussed. In these techniques, the objective function is optimized for optimum switching angles. The switching frequency is fixed and is equal to output frequency. The objective function is modified to improve the input power factor of the single phase matrix converter. To verify the efficiency of these algorithms, the power converter has been simulated in MATLAB/SIMULINK and the obtained results are reported. The FFT analysis of the simulated output voltage waveform confirms the effectiveness of the proposed method.
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