Genetic fuzzy control applied to the inverter of solid oxide fuel cell for power quality improvement

A fuzzy logic control is proposed for this PWM converter and the fuzzy scaling factors are optimized by using genetic algorithms. The proposed control scheme can achieve fast transient responses and, at the same time, have low total harmonic distortion in output current during steady-state operation. This genetic fuzzy controller demonstrates improved response than conventional flux vector method.