KMS Of Academy of mathematics and systems sciences, CAS
Extended State Filter Based Disturbance and Uncertainty Mitigation for Nonlinear Uncertain Systems With Application to Fuel Cell Temperature Control | |
Xue, Wenchao1,2; Zhang, Xiaocheng1,2; Sun, Li3; Fang, Haitao1,2 | |
2020-12-01 | |
Source Publication | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
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ISSN | 0278-0046 |
Volume | 67Issue:12Pages:10682-10692 |
Abstract | 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. |
Keyword | 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 |
Indexed By | SCI |
Language | 英语 |
Funding Project | 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 Research Area | Automation & Control Systems ; Engineering ; Instruments & Instrumentation |
WOS Subject | Automation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation |
WOS ID | WOS:000564342400066 |
Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/52079 |
Collection | 中国科学院数学与系统科学研究院 |
Corresponding Author | Xue, Wenchao; Sun, Li |
Affiliation | 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 |
Recommended Citation 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. |
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