KMS Of Academy of mathematics and systems sciences, CAS
| Composite Control Design for Systems With Uncertainties and Noise Using Combined Extended State Observer and Kalman Filter | |
| Sun, Hao1; Madonski, Rafal2; Li, Shihua1; Zhang, Ya1; Xue, Wenchao3 | |
| 2022-04-01 | |
| Source Publication | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
 |
| ISSN | 0278-0046 |
| Volume | 69Issue:4Pages:4119-4128 |
| Abstract | 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. |
| Keyword | 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 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | 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 Research Area | Automation & Control Systems ; Engineering ; Instruments & Instrumentation |
| WOS Subject | Automation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation |
| WOS ID | WOS:000733446400086 |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/59806 |
| Collection | 中国科学院数学与系统科学研究院 |
| Corresponding Author | Li, Shihua |
| Affiliation | 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 |
| Recommended Citation 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. |
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