Optimized random PWM strategy based on genetic algorithms

This paper proposes an optimized random PWM method for voltage-controlled inverters. The optimized PWM method can achieve minimum total harmonics (THD) value in every cycle of the output frequency, while for traditional random PWM techniques, the instantaneous output harmonics per cycle are various with the random function changes. Therefore, the proposed method is especially beneficial to reduce instantaneous harmonics effect such as acoustic noise and harmonic loss. Simulation results verify that output voltage using the optimized PWM technique is superior to that based on the standard triangular PWM and conventional random PWM methods. A real-valued genetic algorithm (GA) is employed to realize the optimizing algorithm.