INTELLIGENT SUPPORT OF MULTILEVEL FUNCTIONAL STABILITY OF CONTROL AND NAVIGATION SYSTEMS
DOI:
https://doi.org/10.15588/1607-3274-2018-2-20Keywords:
control, stabilization, orientation, functionally steady movement control, abnormal situation, diagnosis, parrying the reason of abnormality.Abstract
Relevance. Ensuring functionally steady operation of dynamic objects’ movement in the presence of abnormal situations is one of themost prospective research problems in the area of technical diagnostics and restoration of system operability. Use of intelligent control
methods and algorithms for solving this scientific and technical task can significantly extend the functionality and improve the performance
of control systems. The aim is the formation of an approach to determine the control effect that ensures the functional stability of the CNS in the presence of abnormal situations.
Method. The concept of ensuring functionally stable control of dynamic objects’ movement has been offered. Well-known diagnostic
methods and tools have been systematized and on that basis new models and methods for deep diagnosis of the functional state of the control and navigation systems up to the reason of abnormality have been developed. Models and methods for multi-level parrying of the reason of abnormal situations through control over the diagnosis have been synthesized, they use such redundant resources as signal and parametric adjustment, reconfiguration of algorithms and commutation of equipment.
Results. The results of the solution of a number of combined scientific and technical problems aimed at the multilevel ensuring of the
functional stability of CNS have been presented.
Conclusion. Analyses of tendencies of theoretical investigation and practical achievements in ensuring functionally steady control of
CNS at occurrence of abnormal situations has been carried out. The concept of intelligent support of the functionally steady control of CNS
has been developed. The concept is based on the principles of multilevel hierarchical diagnosis of CNS to the parried reason of abnormal situation, as well as on the situational approach to eliminate the consequences of failures in accordance with the level of its application. As a result of analysis and synthesis of known approaches to diagnosing the technical state of dynamic objects, the new models and methods for deep diagnosis of the CNS’ functional state have been formed, that makes possible to determine the failure up to the reason of abnormality. Models and methods for multi-level parrying of abnormality through control over the diagnosis with the use of available intelligent on-board resources have been offered. A hardware-software complex for experimental research of theoretical positions have been developed, and conducted experiments have been verified the possibility of extending the functionality of the system to counter abnormal situations. As a result of conducted experiments in real-time scale, diagnosis and restoration of CNS’ functional state during a time not exceeding 42.2%–48.4% of the transient time of the system in normal operation mode have been implemented.
References
Gostev V. I., Мashkov O. A., Мashkov V. A. Intermodular exchange of diagnosis information in Selfdiagnosis of complex systems, Cybernetics and Computing Technology, Discrete Control Systems, 1999, Vol. 105, No. 2, pp. 95–103..
Gostev V. I., Мashkov O. A., Мashkov V. A. Methods for providing fault tolerance of airborne computer system through their selfcontrol [Text], Cybernetics and Computing Technology, Discrete Control Systems,1999, Vol. 109, No. 4, pp. 33–44.
Mashkov O., Mashkov V. Fault-Tolerant of Computing Systems based on the Self-diagnosis by the traveling kerning Principle, Cybernetics and Computing Technology, Discrete Control Systems, 1999, Vol. 106, No. 3, pp. 89–94.
Gostev V. I., Мashkov O. A., Мashkov V. A. Self-diagnostic of modular systems in random performance of elementary tests, Cybernetics and Computing Technology, Discrete Control Systems, 1995, Vol. 99, No. 3, pp. 104–112.
Firsov, S. N. Formation of Fault-Tolerant Flywheel Engine Units in Satellite Stabilization and Attitude Control Systems, Journal of Computer and Systems Sciences International, 2014, Vol. 53, No. 4, pp. 601–609.
Firsov S., Plavynska N., Rudenko K. Hardware and Software
Package for Search, Detection and First Aid Means Delivery in
Rough Terrain on Basis of a Three Rotor Unmanned Aerial Vehicle, Transport Problems, 2014, Vol. 9, Issue 2, pp. 69–75.
Mashkov O. A., O. M. Shhukin Ocinka efektyvnosti zastosuvannja funkcional’no stijkyh system dystancijno pilotovanyh lital’nyh aparativ pry monitoryngu navkolyshn’ogo pryrodnogo seredovyshha v umovah turbulentnosti atmosfery, Modeljuvannja ta informacijni tehnologii’, 2013, – Vol. 69, No. 2, pp. 152–158.
Kravchenko Ju.V., Mykus’ S. A. Suchasnyj stan ta shljahy rozvytku teorii’ funkcional’noi’ stijkosti, Modeljuvannja ta informacijni tehnologii’, 2013, Vol. 68, Issue 1, pp. 60–68.
Castaldi P., Mimm N., Simani S. Fault Tolerant Control Schemes for Nonlinear Models of Aircraft and Spacecraft Systems [Text], 18th IFAC: World Congress, 28.08–02.09 2011, pp. 13705–13710.
Huang, Jianzhuang, Eva Wu N. Fault-Tolerant Sensor Placement Based on Control Reconfigurability, 18th IFAC: World Congress, 28.08–02.09 2011, pp. 14814–14819.
Firsov Sergii, Igor Kulik Compact vertical take-off and landing aerial vehicle for monitoring tasks in dense urban areas, Transport Problems, 2015, Vol. 10, Issue 8, pp. 29–34.
Firsov Sergii, Pishchukhina O. A. Assessment of functional
sustainability of computer-integrated technological systems
[Text], Open information and computer-integrated technologies, 2016, Vol. 72, No. 4, pp. 112–121.
Firsov S. N., Reznikova O. V. Hardware-software complex for experimental tests of control processes and diagnostics of small spacecraft’s faults, Devices and systems. Management,
monitoring, diagnostics, 2014, Vol. 6, pp. 60–69.
Downloads
How to Cite
Issue
Section
License
Copyright (c) 2018 S. N. Firsov, O. A. Pishchukhina
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Creative Commons Licensing Notifications in the Copyright Notices
The journal allows the authors to hold the copyright without restrictions and to retain publishing rights without restrictions.
The journal allows readers to read, download, copy, distribute, print, search, or link to the full texts of its articles.
The journal allows to reuse and remixing of its content, in accordance with a Creative Commons license СС BY -SA.
Authors who publish with this journal agree to the following terms:
-
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License CC BY-SA that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
-
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
-
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
