Optimized Random PWM Strategies Based On Genetic Algorithms

In this chapter, real-coded genetic algorithm is employed to optimize a single-phase inverter controlled by random PWM methods. The simulation studies show that the GA-optimized random PWM is superior to conventional PWM techniques when harmonic energy spread and THD are considered. DSP-based inverter experiments confirm the feasibility of implementation of GA-optimized random-carrier-frequency PWM.