Power electronics converter control based on neural network and fuzzy logic methods

Current-controlled voltage source inverters offer substantial advantages in improving motor system dynamics for high-performance AC drive systems. The controller switches follow a set of reference current waveforms. Fixed-band hysteresis and sinusoidal-band hysteresis controllers have been studied. Neural network and fuzzy logic based current-controlled voltage source inverters are developed. The models and learning techniques are investigated by simulation. The implementation of neural networks is described and simulation results are presented. The application of fuzzy control to DC-DC power converters operating at finite switching frequency is studied. Several control methods currently used for buck and boost converters are compared to the fuzzy converter control. Simulation results for several control methods are presented. The simulations show that the fuzzy control method has better dynamic performance and less steady state error