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Simulation Study of Double Closed-loop SPWM Inverter Based on Fuzzy Neural Network

A new dual closed-loop SPWM inverter control method based on fuzzy neural network is proposed. The method establishs the fuzzy reasoning rules by analyzing the effect of PI controller proportion coefficient and integral coefficient. The fuzzy neural network controller is designed for automatically adjust the parameters of PI controller. Double closed-loop control is introduced at the same time, in which the proportional control is used in the current inner ring, and fuzzy neural network control adopted on voltage outer loop. The performance of the proposed method is compared with fuzzy adaptive PI double closed-loop control. Single phase inverter power supply system simulation experiments show that, inverter power supply system controlled by PI double-closed loop control based on fuzzy neural network, has a lower voltage THD value, better steady-state and dynamic performance.