Modeling and simulation analysis of solid oxide fuel cell system for marine equipment

	Modeling and simulation analysis of solid oxide fuel cell system for marine equipment
	Cheng, Yan 1,2,3; Liu, Dongyan 1,2,3; Zhang, Liting 4; Feng, Xiandong 1,2,3
	2018
关键词	Solid oxide fuel cell thermal management BP neural network PID control
页码	347-351
英文摘要	Temperature management is very important for solid oxide fuel cell (SOFC) power generation system, and need to first establish accurate thermal management model to simulate the working principle of the system. SOFC system is a nonlinear, multivariable, strongly coupled system, which is difficult to establish with traditional methods. In this paper, the SOFC system model is constructed based on Back-Propagation neural network, which the PID control is added on, and the closed-loop control system is analyzed. Through experimental analysis and comparison, it is found that the prediction accuracy is high and the added PID control algorithm has strong anti-interference ability.
会议录	2018 CHINESE AUTOMATION CONGRESS (CAC)
会议录出版者	IEEE
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	英语
资助项目	Shandong Province Natural Science Foundation, China[ZR2017LD012]
WOS研究方向	Automation & Control Systems
WOS记录号	WOS:000459239500066
内容类型	会议论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/24983]
专题	自然资源部第一海洋研究所
通讯作者	Cheng, Yan
作者单位	1.Qilu Univ Technol, Shandong Acad Sci, Inst Oceanog Instrmentat, Qingdao, Peoples R China 2.Shandong Prov Key Lab Marine Monitoring Instrumen, Qingdao, Peoples R China 3.Natl Engn & Technol Res Ctr, Marine Monitoring Equipment, Qingdao, Peoples R China 4.State Ocean Adm, North China Sea Marine Tech Support Ctr, Qingdao, Peoples R China
推荐引用方式 GB/T 7714	Cheng, Yan,Liu, Dongyan,Zhang, Liting,et al. Modeling and simulation analysis of solid oxide fuel cell system for marine equipment[C]. 见:.