Composite Control Design for Systems With Uncertainties and Noise Using Combined Extended State Observer and Kalman Filter

doi:10.1109/TIE.2021.3075838

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	Composite Control Design for Systems With Uncertainties and Noise Using Combined Extended State Observer and Kalman Filter
	Sun, Hao 1; Madonski, Rafal 2; Li, Shihua 1; Zhang, Ya 1; Xue, Wenchao 3
	2022-04-01
发表期刊	IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
ISSN	0278-0046
卷号	69 期号:4 页码:4119-4128
摘要	The extended state observer (ESO) is used to estimate both the unmeasurable system states and acting lumped disturbance. Generally, high gains need to be selected in ESO to achieve fast convergence, which can make it sensitive to measurement noise. To address this limitation, a governing structure with a special combination of Kalman filter (KF) and ESO is proposed. The former serves as noise filtration while the latter is responsible for on-line reconstruction of states and disturbance. The two are connected as the system model used for the KF design contains a constantly updated estimate of the lumped disturbance obtained with the ESO. Finally, the resultant estimates are used to construct a composite disturbance rejection-based controller. To verify the new method, hardware experiments are performed on an electronic throttle system. Conducted quantitative comparison with conventional solution reveals advantages of the proposed approach in noise attenuation and control performance.
关键词	Observers Noise measurement Steady-state Kalman filters Tuning Measurement uncertainty Estimation error Composite control disturbance rejection extended state observer (ESO) Kalman filter (KF) sensor noise
DOI	10.1109/TIE.2021.3075838
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation (NNSF) of China[61973081] ; National Natural Science Foundation (NNSF) of China[62025302] ; Shenzhen Science and Technology Innovation Committee (STIC)[JCYJ20190813153411110] ; Fundamental Research Funds for the Central Universities[21620335] ; Postgraduate Research and Practice Innovation Program of Jiangsu Province[KYCX19 0085]
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:000733446400086
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/59806
专题	中国科学院数学与系统科学研究院
通讯作者	Li, Shihua
作者单位	1.Southeast Univ, Sch Automat, Minist Educ, Key Lab Measurement & Control Complex Syst Engn, Nanjing 210096, Peoples R China 2.Jinan Univ, Int Energy Coll, Energy Elect Res Ctr, Zhuhai 519070, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, NCMIS, LSC, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Sun, Hao,Madonski, Rafal,Li, Shihua,et al. Composite Control Design for Systems With Uncertainties and Noise Using Combined Extended State Observer and Kalman Filter[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,2022,69(4):4119-4128.
APA	Sun, Hao,Madonski, Rafal,Li, Shihua,Zhang, Ya,&Xue, Wenchao.(2022).Composite Control Design for Systems With Uncertainties and Noise Using Combined Extended State Observer and Kalman Filter.IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,69(4),4119-4128.
MLA	Sun, Hao,et al."Composite Control Design for Systems With Uncertainties and Noise Using Combined Extended State Observer and Kalman Filter".IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 69.4(2022):4119-4128.