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

文献类型：期刊论文

作者Xue, Wenchao1,2; Zhang, Xiaocheng1,2; Sun, Li3; Fang, Haitao1,2
刊名IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
出版日期2020-12-01
卷号67期号:12页码:10682-10692
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
ISSN号0278-0046
DOI10.1109/TIE.2019.2962426
英文摘要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.
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
语种英语
WOS记录号WOS:000564342400066
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/52078]  
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.

入库方式： OAI收割

来源：数学与系统科学研究院

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