固体氧化物燃料电池系统仿真分析与控制

doi:10.3976/j.issn.1002-4026.2016.01.001

Abstract

Abstract:

Solid oxide fuel cell (SOFC) system is a nonlinear, multivariable and strong coupling system, so its model is very difficult to be constructed with traditional modeling method. We establish a SOFC system model with BP neural network and MATLAB/Simulink platform.We further increase PID control based on the model and closed loop control system analysis. Experimental results show that the model has high prediction accuracy, and the relative error between temperature data from the model and actual data is 0.011%.The increased PID control algorithm has stronger antiinterference capability.

Key words: thermal management, PID control, solid oxide fuel cell, BP neural network

CLC Number:

TM 911.4

LIU Dongyan, ZHANG Yingying, WU Bingwei, ZHANG Ying, HU yunchuan. Simulation analysis and control of solid oxide fuel cell system[J].SHANDONG SCIENCE, 2016, 29(1): 1-6.

References

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Simulation analysis and control of solid oxide fuel cell system

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