  This paper presents a new real-time intelligent optimization algorithm to
minimize the voltage harmonics of a multilevel inverter. Hybrid Genetic
algorithm /Particle swarm optimization algorithm is employed in a real-time
simulation to identify the best fire angels of the multilevel inverter to
eliminate any destructive effect, such as dc voltage variations and changes in
line and dc-link resistors. The dual objective function of harmonic
minimization and voltage regulation is considered in this real-time simulation.
This approach can be applied to any multilevel inverter with various numbers of
levels. The validity of the proposed algorithm is proven by real-time
simulation of seven and an eleven-level inverter.
