Nonlinear adaptive control law design using TSMC for nuclear reactor in load following operation
Abstract
The load-following process plays a crucial role within nuclear reactors. However, various factors, including uncertainties, can lead to performance degradation in these reactors. To address this, we propose a novel approach using nonlinear adaptive-based terminal sliding mode control (TSMC). To that purpose, the reactor nonlinear model is transformed to normal form using the feedback linearization technique. Based on that model and using the backstepping approach, a nonlinear nominal control law is constructed, which is then mounted with the adaptive discontinuous control law designed by TSMC. Then, a control law for the entire closed-loop system is developed to offer not only local asymptotic stability, but also resilience against uncertainty. A nonlinear terminal integral sliding surface is defined to solve the problem of SMC singularity. The system's stability was investigated using Lyapunov synthesis. To test the performance of the designed control law, numerical simulations are performed. The simulation results demonstrate that the designed control rule permits load-following control in addition to being insensitive to uncertainty.
Downloads
Metrics
References
Brook BW, Alonso A, Meneley DA, Misak J, Blees T, van Erp JB. Why nuclear energy is sustainable and has to be part of the energy mix. Sustainable Materials and Technologies. 2014 Dec;1:8–16. https://doi.org/10.1016/j.susmat.2014.11.001
Dong Z. Nonlinear adaptive power-level control for modular high temperature gas-cooled reactors. IEEE Transactions on Nuclear Science. 2013;60(2):1332–45. https://doi.org/10.1109/TNS.2013.2252023
Chengbo Y, Wang J, Xiuchun L, Jie Z, Zhida Y. Load-following control of nuclear reactors based on l1 adaptive algorithm. In: Proceedings of the 2018 13th World Congress on Intelligent Control and Automation; July 4-8, 2018; Changsha, China.
Eliasi H, Menhaj MB, Davilu H. Robust nonlinear model predictive control for a PWR nuclear power plant. Progress in Nuclear Energy. 2012 Jan;54(1):177–85. https://doi.org/10.1016/j.pnucene.2011.06.004
Li G, Liang B, Wang X, Li X. Multivariable modeling and nonlinear coordination control of nuclear reactor cores with/without xenon oscillation using H∞ loop shaping approach. Annals of Nuclear Energy. 2018 Jan;111:82–100. https://doi.org/10.1016/j.anucene.2017.08.027
Yan X, Wang P, Qing J, Wu S, Zhao F. Robust power control design for a small pressurized water reactor using an H infinity mixed sensitivity method. Nuclear Engineering and Technology. 2020 Jul;52(7):1443–51. https://doi.org/10.1016/j.net.2019.12.031
Dong Z. Nonlinear adaptive dynamic output-feedback power-level control of nuclear heating reactors. Science and Technology of Nuclear Installations. 2013;2013:794167. https://doi.org/10.1155/2013/794167
Etchepareborda A, Lolich J. Research reactor power controller design using an output feedback nonlinear receding horizon control method. Nuclear Engineering and Design. 2007 Feb;237(3):268–76. https://doi.org/10.1016/j.nucengdes.2006.04.002
Yun T, Su-Xia H, Chong L, Fu-Yu Z. An improved implicit multiple model predictive control used for movable nuclear power plant. Nuclear Engineering and Design. 2010 Oct;240(10):3582–5. https://doi.org/10.1016/j.nucengdes.2010.05.003
Wang G, Wu J, Zeng B, Xu Z, Wu W, Ma X. State-Space Model Predictive Control Method for Core Power Control in Pressurized Water Reactor Nuclear Power Stations. Nuclear Engineering and Technology. 2017 Feb;49(1):134–40. https://doi.org/10.1016/j.net.2016.07.008
Khajavi MN, Menhaj MB, Suratgar AA. A neural network controller for load following operation of nuclear reactors. [Online]. Available: www.elsevier.com/locate/anucene
Arab-Alibeik H, Setayeshi S. Adaptive control of a PWR core power using neural networks. Annals of Nuclear Energy. 2005 Apr;32(6):588–605. https://doi.org/10.1016/j.anucene.2004.11.004
Dong Z. A neural-network-based nonlinear adaptive state-observer for pressurized water reactors. Energies. 2013;6(10):5382–5401. https://doi.org/10.3390/en6105382
Dong Z. An artificial neural network compensated output feedback power-level control for modular high temperature gas-cooled reactors. Energies. 2014;7(3):1149–70. https://doi.org/10.3390/en7031149
Mousakazemi SMH, Ayoobian N, Ansarifar GR. Control of the reactor core power in PWR using optimized PID controller with the real-coded GA. Annals of Nuclear Energy. 2018 Aug;118:107–21. https://doi.org/10.1016/j.anucene.2018.03.038
Ansarifar GR, Saadatzi S. Sliding Mode Control for Pressurized-Water Nuclear Reactors in load following operations with bounded xenon oscillations. Annals of Nuclear Energy. 2015;76:209–17. https://doi.org/10.1016/j.anucene.2014.09.059
Hui J, Yuan J. Chattering-free higher order sliding mode controller with a high-gain observer for the load following of a pressurized water reactor. Energy. 2021 May;223:120066. https://doi.org/10.1016/j.energy.2021.120066
Vajpayee V, Becerra V, Bausch N, Deng J, Shimjith SR, Arul AJ. Robust-optimal integrated control design technique for a pressurized water-type nuclear power plant. Progress in Nuclear Energy. 2021 Aug;131:103575. https://doi.org/10.1016/j.pnucene.2020.103575
Abdulraheem KK, Korolev SA. Robust optimal-integral sliding mode control for a pressurized water nuclear reactor in load following mode of operation. Annals of Nuclear Energy. 2021 Aug;158:108288. https://doi.org/10.1016/j.anucene.2021.108288
Qiao L, Zhang W. Adaptive Second-Order Fast Nonsingular Terminal Sliding Mode Tracking Control for Fully Actuated Autonomous Underwater Vehicles. IEEE Journal of Oceanic Engineering. 2019 Apr;44(2):363–85. https://doi.org/10.1109/JOE.2018.2809018
Chen SY, Lin FJ. Robust nonsingular terminal sliding-mode control for nonlinear magnetic bearing system. IEEE Transactions on Control Systems Technology. 2011 May;19(3):636–43. https://doi.org/10.1109/TCST.2010.2050484
Kirgni HB, Wang J. LQR-based adaptive TSMC for nuclear reactor in load following operation. Progress in Nuclear Energy. 2023;156:1–11.
Kirgni HB, Wang J, Asif A. Static output feedback H∞ based integral sliding mode control law design for nuclear reactor power-level. Progress in Nuclear Energy. 2022;150:1–9.
Slotine JJ, Li W. Applied nonlinear control. Prentice Hall; 1991.
Spurgeon S. Sliding mode control: a tutorial. Proceedings of the 2014 European Control Conference (ECC 2014). 2014:2272–7. https://doi.org/10.1109/ECC.2014.6862622
Jiuwu H, Jingqi Y. Adaptive second-order nonsingular terminal sliding mode power-level control for nuclear power plants. Nuclear Engineering and Technology. 2021;54(5):1644–51.
Vajpayee V, Becerra V, Bausch N, Deng J, Shimjith SR, Arul AJ. L1-Adaptive Robust Control Design for a Pressurized Water-Type Nuclear Power Plant. IEEE Transactions on Nuclear Science. 2021 Jul;68(7).
Copyright (c) 2024 Hamza Boubacar Kirgni, Abdou Salam Bako Yahaya, Abdoul Razak Lasseini Gonga Yahaya, Ayouba Moussa Hassane

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


