Quantitative Tuning of Active Disturbance Rejection Controller for FOPTD Model With Application to Power Plant Control
Abstract
Active 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.
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The ESO component has been amended over time to accommodate ADRC operation in industrial applications, including robotic systems, power plants, teleoperation systems, and piezoelectric-related medical fields.
“Therefore, to mitigate the effects of different types of uncertainties acting on a concerned system, the ESO component has been amended over time to accommodate the ADRC operation in industrial applications; for example, in robotic systems [10], power plants [11], teleoperation systems [12], and piezoelectric-related medical fields [13].”
From A comparative study on time-delay estimation for time-delay nonlinear system control (2025) · cites this paper as [11]
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- Authors
- Sun, L., Xue, W., Li, D., Zhu, H., & Su, Z.-G.
- Affiliations
- Southeast University (CN)
- Chinese Academy of Sciences (CN)
- Tsinghua University (CN)
- Nanjing Institute of Technology (CN)
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2022-01
- Volume
- 69
- Issue
- 1
- Pages
- 805-815
- ISSN
- 0278-0046 (ISSN-L)
- 1557-9948
- OpenAlex
- W3122136987
- Cited by
- 178
- References
- 43
- Citations by year
- 2026: 28 · 2025: 51 · 2024: 32 · 2023: 27 · 2022: 27 · 2021: 13
- FWCI
- 11.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Industrial Electronics (publishedVersion)
- Funders
- National Nature Science Foundation (52076037, 51806034&61633003-3)
- Jiangsu NSF (BK20170686)
- Jiangsu Province Key Lab of Aerospace Power System, NUAA
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Design
- Physical Sciences › Engineering › Control and Systems Engineering › Adaptive Control of Nonlinear Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Keywords
- active disturbance rejection control, first order plus time delay model, controller tuning, extended state observer, time delay compensation, stability conditions, robustness, water tank experiments, process control
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