A Non-Isolated High Gain DC-DC converter fed from 1.2kW PEMFC is designed to boost the fuel cell voltage. The Feed-forward Neural Network based MPPT controller algorithm is implemented to adjust the duty cycle of DC-DC converter in order make sure optimum power extraction from PEMFC whose result is compared with Fuzzy Logic Controller. The boosted DC voltage is inverteted to drive BLDC motor by three phase inverter. The inverter switches are triggered with switching pattern generated by SPWM technique according to the Hall sensor signals placed at stator of BLDC motor to find the position of rotor. The simulation anlysis has been carried out using MATLAB (R2017a)/Simulink platform and discussed the results.

由 1.2kW PEMFC 供电的非隔离式高增益 DC-DC 转换器旨在提升燃料电池电压。实现了基于前馈神经网络的 MPPT 控制器算法来调整 DC-DC 转换器的占空比，以确保从 PEMFC 中提取最佳功率，并将其结果与模糊逻辑控制器进行比较。升压后的直流电压通过三相逆变器逆变以驱动 BLDC 电机。根据放置在 BLDC 电机定子上的霍尔传感器信号，通过 SPWM 技术生成的开关模式触发逆变器开关，以找到转子的位置。使用MATLAB（R2017a）/Simulink平台进行了仿真分析，并对结果进行了讨论。