ADVANCEMENTS IN SENSOR AND CONTROL SYSTEMS FOR SPACE NUCLEAR REACTORS
Creators
Description
Space nuclear reactors are integral for powering long-duration space missions and interplanetary exploration. This article highlights critical developments in sensor and control systems for these reactors, emphasizing their importance in ensuring safe and efficient operation in harsh space environments. Redundant sensor configurations, advanced control algorithms, and intelligent sensor networks are discussed as key elements for precise control, real-time monitoring, and autonomous adaptation. Additionally, the integration of modular nuclear reactors and comprehensive safety systems is explored, showcasing their role in enhancing efficiency and mission reliability. These advancements represent significant progress in the field of space nuclear propulsion, enabling safer and more successful space exploration and research endeavors.
Weltraum-Kernreaktoren sind für die Stromversorgung langfristiger Weltraummissionen und interplanetarer Erkundungen von entscheidender Bedeutung. Dieser Artikel beleuchtet entscheidende Entwicklungen bei Sensor- und Steuerungssystemen für diese Reaktoren und betont deren Bedeutung für die Gewährleistung eines sicheren und effizienten Betriebs in rauen Weltraumumgebungen. Redundante Sensorkonfigurationen, fortschrittliche Steuerungsalgorithmen und intelligente Sensornetzwerke werden als Schlüsselelemente für präzise Steuerung, Echtzeitüberwachung und autonome Anpassung diskutiert. Darüber hinaus wird die Integration modularer Kernreaktoren und umfassender Sicherheitssysteme untersucht und deren Rolle bei der Verbesserung der Effizienz und Missionszuverlässigkeit aufgezeigt. Diese Fortschritte stellen einen bedeutenden Fortschritt auf dem Gebiet des nuklearen Weltraumantriebs dar und ermöglichen sicherere und erfolgreichere Weltraumforschungs- und Forschungsbemühungen.
Files
Advancements in Sensor and Control Systems for Space Nuclear Reactors.pdf
Files
(377.5 kB)
Name | Size | Download all |
---|---|---|
md5:b01304b977da0df316b864427cf5c311
|
377.5 kB | Preview Download |
Additional details
References
- Ajoudani, A., Tsagarakis, N., & Bicchi, A. (2015). On the role of robot configuration in cartesian stiffness control.. https://doi.org/10.1109/icra.2015.7139300
- Asundi, S., Fitz-Coy, N., & Latchman, H. (2021). Evaluation of murrell's ekf-based attitude estimation algorithm for exploiting multiple attitude sensor configurations. Sensors, 21(19), 6450. https://doi.org/10.3390/s21196450
- Busse, A. and Moreira, J. (2021). Reliability and redundancy allocation analysis applied to a nuclear protection system. Brazilian Journal of Radiation Sciences, 9(2B). https://doi.org/10.15392/bjrs.v9i2b.1558
- Cruz-Manzo, S., Panov, V., & Bingham, C. (2023). Gas turbine sensor fault diagnostic system in a real-time executable digital-twin. Journal of the Global Power and Propulsion Society, 7, 85-94. https://doi.org/10.33737/jgpps/159781
- Eggers, S. and Anderson, R. (2022). Cyber-informed engineering for nuclear reactor digital instrumentation and control.. https://doi.org/10.5772/intechopen.101807
- Gao, C., Wang, Q., Wei, G., & Long, X. (2016). Research on the optimal structure configuration of dither rlg used in skewed redundant ins.. https://doi.org/10.1117/12.2223487
- Johnson, S., Lee, Y., Bairstow, B., & Vernon, S. (2016). Assembly, test and launch operations for a nuclear-enabled nasa mission: considerations that are specific to use of a nuclear payload.. https://doi.org/10.2514/6.2016-2636
- Kajmakovic, A., Diwold, K., Römer, K., Pestana, J., & Kajtazovic, N. (2022). Degradation detection in a redundant sensor architecture. Sensors, 22(12), 4649. https://doi.org/10.3390/s22124649
- Khatry, J. and Aydogan, F. (2017). Modeling loss-of-flow accidents and their impact on radiation heat transfer. Science and Technology of Nuclear Installations, 2017, 1-15. https://doi.org/10.1155/2017/1345938
- Li, X., Tu, X., Qian, W., Chen, Z., & Yang, Q. (2019). Performance enhancement method for angular rate measurement based on redundant mems imus. Micromachines, 10(8), 514. https://doi.org/10.3390/mi10080514
- Liu, X., Sun, H., Tang, S., Wang, C., Tian, W., Qiu, S., … & Su, G. (2019). Thermal‐hydraulic design features of a micronuclear reactor power source applied for multipurpose. International Journal of Energy Research, 43(9), 4170-4183. https://doi.org/10.1002/er.4542
- Nezam, Z. and Zohuri, B. (2021). Heat pipe as a passive cooling system driving new generation of nuclear power plants. Edelweiss Chemical Science Journal, 30-38. https://doi.org/10.33805/2641-7383.121
- Petitgenet, V., Roper, C., Krecicki, M., Yatsko, A., Kotlyar, D., Mavris, D., … & Shalat, D. (2020). A coupled approach to the design space exploration of nuclear thermal propulsion systems.. https://doi.org/10.2514/6.2020-3846
- Ro, D., Um, M., & Lee, H. (2021). A soft-error-tolerant sar adc with dual-capacitor sample-and-hold control for sensor systems. Sensors, 21(14), 4768. https://doi.org/10.3390/s21144768
- Santamouris, M. and Feng, J. (2018). Recent progress in daytime radiative cooling: is it the air conditioner of the future?. Buildings, 8(12), 168. https://doi.org/10.3390/buildings8120168
- Sessim, M. and Tonks, M. (2021). Multiscale simulations of thermal transport in w-uo2 cermet fuel for nuclear thermal propulsion. Nuclear Technology, 207(7), 1004-1014. https://doi.org/10.1080/00295450.2021.1910005
- Venneri, P. and Eades, M. (2021). Space nuclear power and propulsion at usnc-tech. Nuclear Technology, 1-6. https://doi.org/10.1080/00295450.2021.1895662
- Wang, Z., Zhao, J., Ye, Z., & Shi, L. (2022). Numerical simulation and experimental study on gas flow in an open lattice structure for an advanced space nuclear power system. Frontiers in Energy Research, 10. https://doi.org/10.3389/fenrg.2022.939712
- Yang, D., Su, X., Li, J., Bai, H., Wang, S., Li, Z., … & Tang, X. (2020). Blocking ion migration stabilizes the high thermoelectric performance in cu2se composites. Advanced Materials, 32(40). https://doi.org/10.1002/adma.202003730
- Yin, Y., Xu, F., & Pang, B. (2022). Online intelligent fault diagnosis of redundant sensors in pwr based on artificial neural network. Frontiers in Energy Research, 10. https://doi.org/10.3389/fenrg.2022.1011362
- Yin, Y., Yuan, Z., Pang, B., Xiao, Y., & Deng, Y. (2023). Design and assessment of a core-power controller for lithium-cooled space nuclear reactor based on the concept of fuzzy model predictive control. Frontiers in Energy Research, 10. https://doi.org/10.3389/fenrg.2022.1067892
- Yiting, Z., Shi, S., Li, C., Deng, X., & Su, B. (2015). Wsn-based system in computer science for monitoring temperature outside nuclear reactor.. https://doi.org/10.2991/isrme-15.2015.148