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Quantitative Tuning of Active Disturbance Rejection Controller for FOPTD Model With Application to Power Plant Control
Sun, Li1; Xue, Wenchao2,3; Li, Donghai4; Zhu, Hongxia5; Su, Zhi-gang1
2022
Source PublicationIEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
ISSN0278-0046
Volume69Issue:1Pages:805-815
AbstractActive disturbance rejection controller (ADRC) has achieved soaring success in motion controls featured by rapid dynamics. However, it turns obstreperous to implement it in the power plant process with considerable time-delay, largely because of the tuning difficulty. To this end, this article proposes a quantitative tuning rule for the time-delayed ADRC (TD-ADRC) structure based on the typical first order plus time delay (FOPTD) model. By compensating the FOPTD process as an integrator plus time delay in low frequencies, the gain parameter of TD-ADRC can be related to a scaled time constant which shapes the closed-loop tracking performance. Bandwidth parameter of extended state observer is scaled as a dimensionless parameter. A sufficient stability condition of TD-ADRC is theoretically derived in terms of the scaled parameter pair, the range of which falls within the practical interest. Relative delay margin is revealed as a critical robustness metric among others, a default pair of scaled parameter setting is recommended as well as an explicit retuning guideline according to the user's preference for performance or robustness. Simulation and laboratory water tank experiment validate the tuning efficacy and a coal mill temperature control test depicts a promising prospective of the proposed method in process control practice.
KeywordTuning Delay effects Process control Uncertainty Robustness Delays Stability analysis Active disturbance rejection control (ADRC) quantitative tuning time delay uncertain delay
DOI10.1109/TIE.2021.3050372
Indexed BySCI
Language英语
Funding ProjectNational Nature Science Foundation[52076037] ; National Nature Science Foundation[5180603461633003-3] ; Jiangsu NSF[BK20170686] ; Jiangsu Province Key Lab of Aerospace Power System, NUAA
WOS Research AreaAutomation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS IDWOS:000704120200079
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/59309
Collection中国科学院数学与系统科学研究院
Corresponding AuthorXue, Wenchao
Affiliation1.Southeast Univ, Sch Energy & Environm, Minist Educ, Key Lab Energy Thermal Convers & Control, Nanjing 210096, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, NCMIS, LSC, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
4.Tsinghua Univ, Dept Thermal Engn, Beijing 100085, Peoples R China
5.Nanjing Inst Technol, Sch Energy & Environm, Nanjing 211167, Peoples R China
Recommended Citation
GB/T 7714
Sun, Li,Xue, Wenchao,Li, Donghai,et al. Quantitative Tuning of Active Disturbance Rejection Controller for FOPTD Model With Application to Power Plant Control[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,2022,69(1):805-815.
APA Sun, Li,Xue, Wenchao,Li, Donghai,Zhu, Hongxia,&Su, Zhi-gang.(2022).Quantitative Tuning of Active Disturbance Rejection Controller for FOPTD Model With Application to Power Plant Control.IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,69(1),805-815.
MLA Sun, Li,et al."Quantitative Tuning of Active Disturbance Rejection Controller for FOPTD Model With Application to Power Plant Control".IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 69.1(2022):805-815.
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