Extended State Filter Based Disturbance and Uncertainty Mitigation for Nonlinear Uncertain Systems With Application to Fuel Cell Temperature Control

doi:10.1109/TIE.2019.2962426

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	Extended State Filter Based Disturbance and Uncertainty Mitigation for Nonlinear Uncertain Systems With Application to Fuel Cell Temperature Control
	Xue, Wenchao 1,2; Zhang, Xiaocheng 1,2; Sun, Li 3; Fang, Haitao 1,2
	2020-12-01
发表期刊	IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
ISSN	0278-0046
卷号	67 期号:12 页码:10682-10692
摘要	The filter design for nonlinear uncertain systems is quite challenging since efficient estimation is required against stochastic noises, nonlinear uncertain dynamics as well as their concurrent effects. To this end, this article develops a novel filter algorithm by augmenting the disturbance as well as unknown nonlinear dynamics as an extended state and constructing consistent Kalman-Bucy algorithm. The proposed extended state based Kalman-Bucy filter (KBF) is shown to be of bounded estimation error, and the estimation accuracy can be online evaluated. More importantly, the estimation of asymptotic minimum variance is realized in condition that the changing rate of uncertainty approaches to zero. Therefore, the proposed extended state filter enables effective mitigation of disturbance and unknown nonlinear dynamics in real time by feedback control. The proposed algorithm is experimentally verified via a temperature control application in proton exchange membrane fuel cell, in which the thermocouple noise and the electrochemical uncertainty are seriously presented. The temperature variation of the extended state based KBF-based control is greatly reduced, in comparison with the conventional control. The results in this article depict a promising prospect of the proposed method for industrial control applications to handle both noises and nonlinear uncertain dynamics.
关键词	Estimation Stochastic processes Uncertainty Heuristic algorithms Temperature control Nonlinear systems Stability analysis Disturbance and uncertainty mitigation nonlinear uncertain systems extended state observer (ESO) Kalman-Bucy filter (KBF) proton exchange membrane fuel cell (PEMFC) temperature control
DOI	10.1109/TIE.2019.2962426
收录类别	SCI
语种	英语
资助项目	National Nature Science Foundation[61973299] ; National Nature Science Foundation[11931018] ; Beijing Advanced Innovation Center for Intelligent Robots and Systems[2019IRS09] ; Natural Science Foundation of Jiangsu Province, China[BK20170686]
WOS研究方向	Automation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS类目	Automation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS记录号	WOS:000564342400066
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/52079
专题	中国科学院数学与系统科学研究院
通讯作者	Xue, Wenchao; Sun, Li
作者单位	1.Chinese Acad Sci, Acad Math & Syst Sci, NCMIS, LSC, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China 3.Southeast Univ, Key Lab Energy Thermal Convers & Control, Minist Educ, Nanjing 210096, Peoples R China
推荐引用方式 GB/T 7714	Xue, Wenchao,Zhang, Xiaocheng,Sun, Li,et al. Extended State Filter Based Disturbance and Uncertainty Mitigation for Nonlinear Uncertain Systems With Application to Fuel Cell Temperature Control[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,2020,67(12):10682-10692.
APA	Xue, Wenchao,Zhang, Xiaocheng,Sun, Li,&Fang, Haitao.(2020).Extended State Filter Based Disturbance and Uncertainty Mitigation for Nonlinear Uncertain Systems With Application to Fuel Cell Temperature Control.IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,67(12),10682-10692.
MLA	Xue, Wenchao,et al."Extended State Filter Based Disturbance and Uncertainty Mitigation for Nonlinear Uncertain Systems With Application to Fuel Cell Temperature Control".IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 67.12(2020):10682-10692.