E xploring the Interplay Between Green Hydrogen Production and Microscopic Magnetization
Keywords:
Green Hydrogen, Microscopic Magnetization, Magnetic Fields, Hydrogen Evolution ReactionAbstract
Green hydrogen, produced via water electrolysis using renewable energy, is emerging as a cornerstone for sustainable energy solutions. Recent studies suggest that magnetic fields and hydrogenation processes may influence the magnetic properties of materials, potentially enhancing the efficiency of hydrogen production. This paper explores the relationship between microscopic magnetization and green hydrogen production, examining the effects of hydrogen absorption on magnetic properties and how external magnetic fields can impact electrochemical reactions involved in hydrogen evolution. By reviewing current research on magnetoelectric materials, we propose a theoretical framework that connects microscopic magnetization to the hydrogen production process. This work aims to open new avenues for research into magnetically-enhanced hydrogen technologies and the development of more efficient catalysts for green hydrogen production.
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Kim, J.; Kim, S.; Ju, C.; Son, H.I. Unmanned aerial vehicles in agriculture: A review of perspective of platform, control, and applications. IEEE Access 2019, 7, 105100–105115.
Lyu, M.; Zhao, Y.; Huang, C.; Huang, H. Unmanned aerial vehicles for search and rescue: A survey. Remote Sens. 2023, 15, 3266.
Greenwood, W.W.; Lynch, J.P.; Zekkos, D. Applications of UAVs in civil infrastructure. J. Infrastruct. Syst. 2019, 25, 04019002.
Vasiloni, A.; Guyvenchy, F.; Pașcalău, R.; Șmuleac, A. Use of UAV technology for environmental conservation. Res. J. Agric. Sci. 2023, 55, 4.
Telli, K.; Kraa, O.; Himeur, Y.; Ouamane, A.; Boumehraz, M.; Atalla, S.; Mansoor, W. A comprehensive review of recent research trends on unmanned aerial vehicles (UAVs). Systems 2023, 11, 400.
Fourlas, G.K.; Karras, G.C. A survey on fault diagnosis and fault-tolerant control methods for unmanned aerial vehicles. Machines 2021, 9, 197.
Henna, H.; Toubakh, H.; Kafi, M.R.; Sayed-Mouchaweh, M. Towards fault-tolerant strategy in satellite attitude control systems: A review. Annu. Conf. PHM Soc. 2020, 12, 14.
Zogopoulos-Papaliakos, G.; Karras, G.C.; Kyriakopoulos, K.J. A fault-tolerant control scheme for fixed-wing with flight envelope awareness. J. Intell. Robot. Syst. 2021, 102, 46.
Hann, R.; UNTNU. 2nd international UAV Icing Workshop: Book of abstracts. UAV Icing Workshop, Trondheim, Norway. 3 December 2024.Available online: https://zenodo.org/records/14274740 (accessed on 1 March 2025).
Souanef, T. Adaptive Guidance and Control of Small Unmanned Aerial Vehicles. Ph.D. Thesis, Universität Stuttgart, Stuttgart, Germany, 2019.
Souanef, T. L1 Adaptive Output Feedback Control of Small Unmanned Aerial Vehicles. Unmanned Syst. 2023, 11, 249–260.
Emami, S.; Banazadeh, A. Fault-tolerant predictive trajectory tracking of an air vehicle based on acceleration control. IET Control Theory Appl. 2020, 14, 750–762.
Hu, X.; Zong, G.; Deng, X.; Wang, W. Model predictive control-based non-linear fault-tolerant control for air-breathing hypersonic vehicles. IET Control Theory Appl. 2014, 8, 1147–1153.
Zhang, C.; Zhang, G.; Dong, Q. Fixed-time disturbance observer-based nearly optimal control for reusable launch vehicle with input constraints. ISA Trans. 2022, 122, 182–197.
Almutairi, S.H.; Aouf, N. Fault-tolerant flight control design against actuator impairments using optimal control and fault compensation. In Proceedings of the 11th IEEE International Conference on Control & Automation (ICCA), Taichung, Taiwan, 18–20 June 2014.
Zhang, Y.; Tang, S.; Guo, J. Adaptive-gain fast super-twisting sliding mode fault-tolerant control for a reusable launch vehicle in reentry phase. ISA Trans. 2017, 71, 380–390.
Liang, X.; Zhang, Y.; Zhang, B.; Peng, Y. Fixed-time observer-based fault-tolerant attitude control for reusable launch vehicle with actuator faults. Aerosp. Sci. Technol. 2020, 107, 106314.
Mahboub, M.A.; Rouabah, B.; Kafi, M.R.; Toubakh, H. Health management using fault detection and fault-tolerant control of
multicellular converter applied in more electric aircraft system. Diagnostyka 2022, 23, 2.
Ma, X.; Liu, S.; Cheng, H. Civil aircraft fault-tolerant attitude tracking based on extended state observers and nonlinear dynamic inversion. J. Syst. Eng. Electron. 2022, 33, 180–187.
Meng, Y.; Jiang, B.; Qi, R. Adaptive fault-tolerant attitude tracking control of hypersonic vehicle subject to unexpected centroid-shift and state constraints. Aerosp. Sci. Technol. 2019, 95, 105515.
Saied, M.; Belkacem, A.; Khenfouch, M. BFA fuzzy logic-based control allocation for fault-tolerant control of multirotor UAVs. Aeronaut. J. 2019, 123, 1356–1373.
Long, H.; Wang, Z.; Guo, L.; Li, J. Fixed-time adaptive fuzzy fault-tolerant control of flapping wing MAVs with wing damage. IEEE Trans. Aerosp. Electron. Syst. 2024, 60, 6594–6607.
Zhang, C.; Luo, H.; Li, J.; Wang, Z. Neural-networks and event-based fault-tolerant control for spacecraft attitude stabilization. Aerosp. Sci. Technol. 2021, 114, 106746.
Lombaerts, T.; Ankersen, F.; Mulder, T.; Voskuijl, M. Dynamic inversion based full envelope flight control for an eVTOL vehicle using a unified framework. In Proceedings of the AIAA Scitech 2020 Forum, Orlando, FL, USA, 6–10 January 2020.
Dong, Z.; Liu, K.; Wang, S. Sliding mode disturbance observer-based adaptive dynamic inversion fault-tolerant control for fixed-wing UAV. Drones 2022, 6, 295.
Zhang, L.; Mu, J.; Ma, H.; Dai, G.; Tong, S. Research on fault-tolerant control of combined airframe damage of electric aircraft. Aerospace 2023, 10, 611.
Jiang, F.; Liu, X.; Chen, T.; Li, K. Research on an Ice Tolerance Control Method for Large Aircraft Based on Adaptive Dynamic Inversion. Actuators 2024, 227.
Wang, H.; Zhou, X.; Tian, Y. Robust adaptive fault-tolerant control using RBF-based neural network for a rigid-flexible robotic system with unknown control direction. Int. J. Robust Nonlinear Control 2022, 32, 1272–1302.
Hou, Z.; Lan, X. Adaptive sliding mode and RBF neural network-based fault-tolerant attitude control for spacecraft with unknown uncertainties and disturbances. Adv. Space Res. 2024, 74, 1680–1692.
Ding, S.; Zhai, Q.; Liu, J.; Ma, J.; Qiu, Y. Disturbance observer design for nonlinear systems represented by input–output models. IEEE Trans. Ind. Electron. 2019, 67, 1222–1232.
He, Q.; Zhao, J.; Hu, X.; Wang, G.; Yan, J. Reconfigurable nonlinear dynamic inversion for attitude control of a structurally damaged aircraft. IEEE Access 2020, 8, 199931–199943.
Xue, Y.X.; Yan, L.; Sun, X.; Ma, D. Adaptive fault-tolerant control for carrier-based UAV with actuator failures. Aerosp. Sci. Technol. 2020, 107, 106227.
Zhou, Y.; Liu, H.; Guo, H. ℒL1 adaptive output-feedback fault-tolerant control for uncertain nonlinear systems subject to unmodeled actuator dynamics and faults. Trans. Inst. Meas. Control 2022, 44, 2177–2192.
Iglesis, E.; Horri, N.; Brusey, J.; Dahia, K.; Piet-Lahanier, H. Simultaneous actuator and sensor faults estimation for aircraft using a jump-Markov regularized particle filter. In Proceedings of the 2021 IEEE International Conference on Prognostics and Health Management (ICPHM), Detroit (Romulus), MI, USA, 7–9 June 2021.
Beard, R.W.; McLain, T.W. Small Unmanned Aircraft: Theory and Practice; Princeton University Press: Princeton, NJ, USA, 2012.
Cecilia, A. Advances in Nonlinear Observer Design for State and Parameter Estimation in Energy Systems; Springer Nature: Berlin/Heidelberg, Germany, 2023.
Snell, S.A. Nonlinear Dynamic-Inversion Flight Control of Supermaneuverable Aircraft; University of Minnesota: Minneapolis, MN, USA, 1991.
Safwat, E.; Farag, M.; El-Bardini, M.; Bayoumi, A. Robustness analysis of modified incremental nonlinear dynamic inversion for small UAVs. Autom. Control. Comput. Sci. 2020, 54, 128–138.
Lavretsky, E.; Wise, K.A. Robust and Adaptive Control with Aerospace Applications; Springer: London, UK, 2013.
Slotine, J.J.E.; Li, W. Applied Nonlinear Control; Prentice Hall: Englewood Cliffs, NJ, USA, 1991.
Journal of Advanced Applied Technology and Engineering (JAATE)
Stevens, B.L.; Lewis, F.L.; Johnson, E.N. Aircraft Control and Simulation: Dynamics, Controls Design, and Autonomous Systems; John Wiley & Sons: Hoboken, NJ, USA, 2015.
Souanef, T. Multiple model l 1 adaptive fault-tolerant control of small unmanned aerial vehicles. J. Aerosp. Eng. 2024, 37, 04023103.
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