System States and Disturbance Estimation Using Adaptive Integral Terminal Sliding Mode Observer for U‐Tube Steam Generator Model in Nuclear Power Plant
ABSTRACT Designing water level control for a U‐tube steam generator (UTSG) in nuclear power plants (NPP) remains a challenge, especially at low power demand due to unreliable steam flow measurements. This paper addresses the steam flow rate as a disturbance to the plant, treating it as an inaccessible variable. To estimate the disturbance (steam flow rate) and system states, an adaptive integral terminal sliding mode observer is developed. These estimated values can be utilized in the water level control design to enhance the reliability and performance of the control system. An adaptive observer is developed such that the augmented systems formed by the error dynamical systems and the designed adaptive laws are globally uniformly ultimately bounded. This technique is applied to a non‐minimum phase system model representing the UTSG system to improve water level control and prevent possible serious consequences. Various disturbance signal forms with different amplitudes are simulated to demonstrate the reliability of the proposed technique. The simulation results show the effectiveness of the method proposed in this paper.
Authors
- Mokhtar Mohamed (ORCID: https://orcid.org/0000-0002-0710-3227)
- Hafiz Ahmed (ORCID: https://orcid.org/0000-0001-8952-4190)
- I. Pierce (ORCID: https://orcid.org/0000-0003-1331-1337)
- Xing‐Gang Yan (ORCID: https://orcid.org/0000-0003-2217-8398)
Institutions
- Bangor University (GB)
- University of Kent (GB)
- University of Bristol (GB)
- University of Sheffield (GB)
Publication Details
- Journal
- IET Control Theory and Applications
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1049/cth2.70050
- Citations
- 1
- Primary Topic
- Power System Optimization and Stability
- Type
- article
- Field-Weighted Citation Impact
- 0.73
Funders
- Bangor University
- Engineering and Physical Sciences Research Council
- European Regional Development Fund
- CHIST-ERA