An evolutionary approach to the construction of new-generation software-intensive satellite control systems

Author(s):  
T. Vardanega
Author(s):  
Miroslaw Nawrocki ◽  
Krzysztof Kurowski ◽  
Radoslaw Gorzenski

Transforming basic multi-disciplinary research into applied research in the area of a new generation of networks, sensors, cyber-physical, and edge-cloud systems used for cyber space is a difficult task. However, moving even a step forward by providing advanced field and testing facilities for ground-air demonstrations for appearing Aviation 4.0 scenarios is a real challenge. In our opinion, such a rapid and dynamic process should be powered by many research and infrastructure projects. New development strategies are needed in the upcoming future to link emerging trends in information and communications technologies together with increased competitiveness and users expectations from fully autonomous drones, robots, cars, etc. This paper aims to share our early experiences in setting and providing distributed testbeds to cross different hardware, software, and cyber-physical components and pave the way for air-ground demonstrations of the new emerging IT paradigm – digital continuum. We also share our vision of implementing virtual and digital spaces at a large scale by the gradual transition towards higher levels of cyber-physical systems automation and autonomy. Finally, we promote dynamic, data-driven, service-oriented approaches and network-centric platforms for a new generation of air and ground control systems which will be validated in real conditions established thanks to our new airfield-based laboratories used in many ongoing and future R&D projects.


2003 ◽  
Author(s):  
Christof Hammel ◽  
Holger Jessen ◽  
Birgit Boss ◽  
Andreas Traub ◽  
Christian Tischer ◽  
...  

2012 ◽  
Vol 457-458 ◽  
pp. 1070-1076 ◽  
Author(s):  
Fei Yan ◽  
Ming Jian Li

Based on the traditional method of analytical redundancy fault diagnosis, the advanced machine learning technology is combined with the model-based fault diagnosis so as to form a new intelligent approach to the fault diagnosis for satellite control systems. The support vector regression technique in statistical learning theory is employed to model the control system with a little sampling data firstly. Then the feasibility of detecting and identifying faults for the satellite attitude control system with the Mahalanobis distance is analyzed in detail. Finally a set of fault-detection observers are designed and implemented based on the residual evaluation. The simulation result indicates that the diagnosing method proposed in this paper is characterized with light computation burden and good real-time performance.


1999 ◽  
Vol 13 (14n16) ◽  
pp. 2160-2167 ◽  
Author(s):  
Seung-Bok Choi

The successful development of a new generation of technology incorporating an electro-rheological (ER) fluid requires three principal ingredients; advanced ER fluid, reliable mechanical mechanism and efficacious control scheme. This paper discusses the third one. After describing general, but stringent requirements for semiactive or active control systems featuring the ER fluid, feedback control characteristics of some specific ER devices are presented; a frequency-dependent feedback control of mode shape in a smart flexible structure containing the ER fluid, an optimal control of vibration in a semi-active suspension installed with ER shock absorbers, and a neural network control of position in a hydraulic ER valve-cylinder system.


Biofeedback ◽  
2018 ◽  
Author(s):  
Natallia Ivaniuk ◽  
Zahar Ponimash ◽  
Vladimir Karimov ◽  
Valentsin Shepanskiy

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