AIRCRAFT FAULT DIAGNOSIS SYSTEM DEVELOPMENT

Ivan Zhezhera, Ouissam Boudiba

Abstract


Dichotomizing algorithms of diagnostics and reconfiguration of the navigation system which process indicators of inertial, satellite and optical subsystems in real time for typical types of refusals are considered in the work. The given approach provides majority diagnostics of measuring system with system and hardware redundancy at a minimum necessary set of sensors. The main idea of a method is the comparative analysis of all measuring subsystems behind reference value. The reference value is the parameter which is synthesized from all diagnosable subsystems, in this work – a course corner. When obtaining the only parameter by gages of the different nature it is possible to provide firmness of an algorithm. Also reasonably the possibility of the introduction of optical systems with the use of algorithms of computer sight for ensuring system redundancy of the navigation system is described. The system is intended for identification only of one type of refusal for a unit of time. A positive factor of an invention is the universality that allows using system on any operating small autonomous aircraft. For the introduction of a system, there is no requirement in finishing the hardware. Use of system of failure diagnostics will reduce the risk of loss of the aircraft when performing a task, will increase its efficiency and accuracy of indicators. As a result of researches, the algorithmic dependence of signals of the navigation system was established that allowed to make the analysis and diagnostics with the following renewal of the lost parameter thanks to system and hardware redundancy of devices. Practical use of the system in actual practice with an influence of artificially created obstacles and noise is shown. Developments in area of aircraft safety are necessary due to the need for an increase in level, at the emergence of emergency situations

Keywords


Functional firmness; diagnostics; compensation; reconfiguration; orientation; fault tolerance; optical navigation system. emergency situations

Full Text:

PDF

References


Mutuel, L. H., Speyer, J. L. (2017). Research on SINS/GPS/CNS fault-tolerant integrated navigation system with air data system assistance. Navigation. Journal of the institute of navigation, 49, 35–44.

Kim, Y., Hwang, D.-H. (2016). Vision/INS Integrated Navigation System for Poor Vision Navigation Environments. Sensors, 16 (10), 1672. doi: 10.3390/s16101672

Zhang, Y. (2008). On fault-tolerant navigation technique and its application in INS/GPS/Doppler integrated navigation system. 2008 27th Chinese Control Conference. doi: 10.1109/chicc.2008.4605457

Sari, A., Akkaya, M. (2015). Fault Tolerance Mechanisms in Distributed Systems. International Journal of Communications, Network and System Sciences, 8 (12), 471–482. doi: 10.4236/ijcns.2015.812042

Chen, M., Tao, G. (2015). Adaptive Fault-Tolerant Control of Uncertain Nonlinear Large-Scale Systems With Unknown Dead Zone. IEEE Transactions on Cybernetics, 46 (8), 1851–1862. doi: 10.1109/tcyb.2015.2456028

Huang, W., Su, X. (2015). Design of a Fault Detection and Isolation System for Intelligent Vehicle Navigation System. International Journal of Navigation and Observation, 1–19. doi: 10.1155/2015/279086

Israel, K., Krishna, C. M. (2007). Fault tolerant systems. Amsterdam: Morgan Kaufmann Publishers is an imprint of Elsevier, 17–20.

Liu, Y., Cai, T., Yang, H., Liu, C., Song, J., Yu, M. (2016). The Pedestrian Integrated Navigation System with micro IMU/GPS/magnetometer/barometric altimeter. Gyroscopy and Navigation, 7 (1), 29–38. doi: 10.1134/s2075108716010089

Yu, G., Morel, J.-M. (2009). A fully affine invariant image comparison method. 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. doi: 10.1109/icassp.2009.4959904

Morel, J.-M., Yu, G. (2009). ASIFT: A New Framework for Fully Affine Invariant Image Comparison. SIAM Journal on Imaging Sciences, 2 (2), 438–469. doi: 10.1137/080732730




DOI: http://dx.doi.org/10.21303/2585-6847.2017.00471

Refbacks

  • There are currently no refbacks.


Copyright (c) 2017 Ivan Zhezhera, Ouissam Boudiba

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

ISSN 2585-6847 (Online), ISSN 2585-6839 (Print)