Abstract
The control system of space launch site plays a key role in mission success. The application of intelligent control systems and unmanned systems can increase mission efficiency. However, these systems can also cause large uncontrollable security risks. Normally, in a launch site, experts must rush to the launch field for diagnosing and/or handling automatic control system faults. In the case of high-frequency multisite missions, this mode of operation is not sustainable. This paper proposes a remote and intelligent support architecture for the autonomous control of ground equipment. The architecture has three hierarchical levels: field, launch-site, and long-range. It integrates the control verification and fault diagnosis of field autonomous control at the launch site with remote fault diagnosis and prediction and remote maintenance. It enables the control system for the ground equipment in the launch site to operate without faults. This paper introduces the main schemes necessary to realize the key elements of the system and the architecture. In the preliminary practice, the launch mission is found to be supported effectively.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Xiao, L.T., et al.: A hierarchical framework for intelligent launch site system. In: 2018 IEEE International Conference on Information and Automation, 5 p. IEEE Press, China (2018)
Xiao, L.T., et al.: System architecture and construction approach for intelligent space launch site. Adv. Intell. Syst. Comput. 856(1), 397–404 (2019)
Xiao, L.T., et al.: Intelligent architecture and hybrid model of ground and launch system for advanced launch site. In: 2019 IEEE Aerospace Conference, 10 p. IEEE Press, USA (2018)
Xiao, L.T., et al.: PLC programs’ checking method and strategy based on module state transfer. In: 2015 IEEE International Conference on Information and Automation, 5 p. IEEE, China (2015)
Arup, G., et al.: FBMTP: an automated fault and behavioral anomaly detection and isolation tool for PLC-controlled manufacturing systems. IEEE Trans. Syst. Man Cybern. Syst. 47(12), 3397–3417 (2017)
Liu, W., et al.: Distributed intelligent fault diagnosis system based on system fusion. In: 2018 IEEE Aerospace Conference, 5 p. IEEE, USA (2018)
Xu, F., et al.: Robust MPC for actuator-fault tolerance using set-based passive fault detection and active fault isolation. J. Appl. Math. Comput. Sci. 27(1), 43–61 (2017)
Victor, B., et al.: Concept implementation of decision support software for the risk management of complex technical system. Adv. Intell. Syst. Comput. 512, 255–269 (2017)
Walker, M.S., et al.: Serial data machine control system. In: 16th Annual SMPTE Television Conference, 8 p. IEEE, USA (2015)
Liliam, R.G., et al.: Network-based control system to compensate the input delay and minimize energy expenditure of a cooling plant. In: 15th International Conference on Electrical Engineering, Computing Science and Automatic Control, 7 p. IEEE, USA (2018)
Shi, P.M., et al.: A novel intelligent fault diagnosis method of rotating machinery based on deep learning and PSOSVM. Adv. Intell. Syst. Comput. J. Vibroeng. 19(8), 5932–5946 (2017)
Xiao, L.T., et al.: An approach for the verification of trusted operation on automatic control system. In: 2018 International Conference on Physics, Computing and Mathematical Modeling, 6 p. IOP, China (2018)
Marino, M., et al.: Distributed fault detection isolation and accommodation for homogeneous networked discrete-time linear systems. IEEE Trans. Autom. Control 62(9), 4840–4847 (2017)
Xiao, L.T., et al.: An architecture of IoT application support system in launch site. Trans. Adv. Intell. Syst. Res. 863, 169–173 (2018)
Garcia, M.V., et al.: OPC-UA communications integration using a CPPS architecture. In: 2016 IEEE Ecuador Technical Chapters Meeting, 7 p. IEEE, USA (2016)
Salvatore, C., et al.: Integrating OPC UA with web technologies to enhance interoperability. Comput. Stand. Interf. 61, 45–64 (2019)
Alexander, G., et al.: TSN-enabled OPC UA in field devices. In: 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation, 7 p. IEEE, USA (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Xiao, L., Li, M., Hou, K., Wang, F., Li, Y. (2020). Remote Intelligent Support Architecture for Ground Equipment Control in Space Launch Sites. In: Kim, J., Geem, Z., Jung, D., Yoo, D., Yadav, A. (eds) Advances in Harmony Search, Soft Computing and Applications. ICHSA 2019. Advances in Intelligent Systems and Computing, vol 1063. Springer, Cham. https://doi.org/10.1007/978-3-030-31967-0_26
Download citation
DOI: https://doi.org/10.1007/978-3-030-31967-0_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-31966-3
Online ISBN: 978-3-030-31967-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)