说明：  搭建了含有正常工作电压区间为126～163V PEMFC电堆、DC/DC升压变换器、DC/AC逆变器、滤波器等的PEMFC微型供电系统模型，并在此基础上，根据PEMFC输出特性将RBF神经网络与传统PID控制器结合，设计了一种基于RBF神经网络PID自适应控制的Boost变换器。MATLAB/Simulink软件仿真测试表明，当负载发生变化电堆输出电压不稳定时，PID自适应控制器能够将变换器输出电压快速平滑地过渡到300V设定值，给负载提供稳定电压，实现供电系统的快速响应。以永磁同步电机作为负载进行分析，结果表明系统满足供电要求，验证了本设计的可行性。
(A micro power supply system model of PEMFC with normal operating voltage range of 126-163v PEMFC stack, DC / DC boost converter, DC / AC inverter and filter is built. On this basis, according to the output characteristics of PEMFC, a boost converter based on RBF neural network PID adaptive control is designed by combining RBF neural network with traditional PID controller. Matlab / Simulink software simulation test shows that when the load changes, the output voltage of the stack is unstable, and the PID adaptive controller can quickly and smoothly transition the converter output voltage to the set value of 300V, provide stable voltage to the load, and realize the fast response of the power supply system. The results show that the system meets the requirements of power supply, which verifies the feasibility of the design.)