Abstract
The problem of compensating autonomous navigation systems with predictive algorithms was studied. For the purpose of high-precision compensation, the method of constructing nonlinear models, i.e. modified self-organization algorithm with redundant trends, was proposed with the help of identification of basic functions. The results of mathematical modeling of inertial navigation system errors with predictive algorithms demonstrated the effectiveness and high-accuracy of proposed algorithms for constructing models.
Original language | English |
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Title of host publication | 2016 International Conference on Robotics and Automation Engineering, ICRAE 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 104-108 |
Number of pages | 5 |
ISBN (Electronic) | 9781509040728 |
DOIs | |
Publication status | Published - 8 Nov 2016 |
Externally published | Yes |
Event | 2016 International Conference on Robotics and Automation Engineering, ICRAE 2016 - Jeju-Do, Korea, Republic of Duration: 27 Aug 2016 → 29 Aug 2016 |
Publication series
Name | 2016 International Conference on Robotics and Automation Engineering, ICRAE 2016 |
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Conference
Conference | 2016 International Conference on Robotics and Automation Engineering, ICRAE 2016 |
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Country/Territory | Korea, Republic of |
City | Jeju-Do |
Period | 27/08/16 → 29/08/16 |
Keywords
- error compensation
- navigation system
- predictive modelling
- self-organization algorithm
- unmanned aerial vehicle
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Shen, K., Proletarsky, A. V., & Neusypin, K. A. (2016). Algorithms of constructing models for compensating navigation systems of unmanned aerial vehicles. In 2016 International Conference on Robotics and Automation Engineering, ICRAE 2016 (pp. 104-108). Article 7738798 (2016 International Conference on Robotics and Automation Engineering, ICRAE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRAE.2016.7738798