TY - GEN
T1 - Algorithms of constructing models for compensating navigation systems of unmanned aerial vehicles
AU - Shen, Kai
AU - Proletarsky, Andrey V.
AU - Neusypin, Konstantin A.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/8
Y1 - 2016/11/8
N2 - 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.
AB - 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.
KW - error compensation
KW - navigation system
KW - predictive modelling
KW - self-organization algorithm
KW - unmanned aerial vehicle
UR - http://www.scopus.com/inward/record.url?scp=85006869007&partnerID=8YFLogxK
U2 - 10.1109/ICRAE.2016.7738798
DO - 10.1109/ICRAE.2016.7738798
M3 - Conference contribution
AN - SCOPUS:85006869007
T3 - 2016 International Conference on Robotics and Automation Engineering, ICRAE 2016
SP - 104
EP - 108
BT - 2016 International Conference on Robotics and Automation Engineering, ICRAE 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 International Conference on Robotics and Automation Engineering, ICRAE 2016
Y2 - 27 August 2016 through 29 August 2016
ER -