摘要
为了在负载发生变化时质子交换膜燃料电池(PEMFC)供电系统能够稳定供电,论文根据PEMFC的运行特性,建立了含有正常工作电压区间为126V^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,验证了该设计的可行性。
When the power load changes,in order to ensure that proton exchange membrane fuel cell(PEMFC)power supply system can provide stable power supply,according to the operation characteristics of PEMFC,a model of micro PEMFC power system model consisting of a normal operating voltage range 126V^163V power PEMFC stack,DC/DC Boost converter,DC/AC inverter and filter is established.On this basis,according to the output characteristics of PEMFC,RBF neural network and traditional PID controller are combined,a Boost converter based on RBF neural network PID adaptive control is designed.Matlab/Simulink software simulation shows that,when the load changes and the output voltage of the stack is unstable,the PID adaptive controller can quickly and smoothly transfer the output voltage of the converter to the set value of 300V,so as to provide stable voltage to the load,realize the rapid response of the power supply system.The permanent magnet synchronous motor(PMSM)is taken as the load to analyze,and the results show that the system meets the requirements of power supply and verify the feasibility of the design.
作者
李龙刚
李立伟
LI Longgang;LI Liwei(College of Electrical Engineering,Qingdao University,Qingdao 266071)
出处
《计算机与数字工程》
2020年第4期832-837,共6页
Computer & Digital Engineering
基金
山东省科技发展计划项目(编号:2011GGB01123)
山东省重点研发计划项目(编号:2017GGX50114)资助。
