Nonlinear adaptive control law design using TSMC for nuclear reactor in load following operation

Authors

  • Hamza Boubacar Kirgni High Authority of Niger Atomic Energy (HANEA), Niger
  • Abdoul Salam Bako Yahaya High Authority of Niger Atomic Energy (HANEA), Niger
  • Abdoul Razak Lasseini Gonga Yahaya High Authority of Niger Atomic Energy (HANEA), Niger
  • Ayouba Moussa Hassan High Authority of Niger Atomic Energy (HANEA), Niger

DOI:

https://doi.org/10.57056/ajet.v9i1.159

Keywords:

Feedback linearization, TSMC, Load-following, Power level

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.

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;1(1):8-16. doi: 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):1332-1345.

Yu C, Wang J, Luan X, Zhou J, Yang Z. Load-following Control of Nuclear Reactors Based on L1 Adaptive Algorithm. In: 2018 13th World Congress on Intelligent Control and Automation (WCICA). IEEE; 2018:1566-1571.

Eliasi H, Menhaj MB, Davilu H. Robust nonlinear model predictive control for a PWR nuclear power plant. Progress in Nuclear Energy. 2012;54(1):177-185.

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;111:82-100.

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;52(7):1443-1451. doi: 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. doi: 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;237(3):268-276. doi: 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 1;240(10):3582-5. doi: 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 1;49(1):134-40., doi: 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. Annals of Nuclear Energy. 2002 Apr 1;29(6):751-60. doi: https://doi.org/10.1016/S0306-4549(01)00075-5

Arab-Alibeik H, Setayeshi S. Adaptive control of a PWR core power using neural networks. Annals of Nuclear Energy. 2005 Apr 1;32(6):588-605, doi: 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 Oct 18;6(10):5382-401., doi: 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 Feb 26;7(3):1149-70., doi: https://doi.org/10.3390/en7031149

Mousakazemi SM, 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;118:107-121. doi: 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;76:209-217.

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;223:120066. doi: https://doi.org/10.1016/j.energy.2021.120066

Vajpayee V, Becerra V, Bausch N, et al. Robust-optimal integrated control design technique for a pressurized water-type nuclear power plant. Progress in Nuclear Energy. 2021;131:103575. doi: 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;158:108288. doi: 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;44(2):363-385.

Chen SY, Lin FJ. Robust nonsingular terminal sliding-mode control for nonlinear magnetic bearing system. IEEE Transactions on Control Systems Technology. 2011

Li C, Wang J, Luan X, et al. Design of nonlinear adaptive power-level controller for PWR in load following operation. 2016 IEEE International Conference on Mechatronics and Automation (ICMA); 2016:2443-2448.

Slotine JJE, Li W. Applied nonlinear control. Prentice Hall; 1991.

Spurgeon S. Sliding mode control : a tutorial. 2014 European Control Conference (ECC); 2014:2272-2277. doi: 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):1644-1651.

Nonlinear adaptive control law design using TSMC for nuclear reactor in load following operation

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Published

2024-07-12

How to Cite

Boubacar Kirgni, H., Yahaya, A. S. B., Lasseini Gonga Yahaya, A. R., & Moussa Hassan , A. (2024). Nonlinear adaptive control law design using TSMC for nuclear reactor in load following operation. Algerian Journal of Engineering and Technology, 9(1), 10–24. https://doi.org/10.57056/ajet.v9i1.159