Synthesis of the structure of light unmanned aerial vehicle dynamic model parameter identification system
by
Azarov Michael
Saint-Petersburg State University of Aerospace Instrumentation

The method of synthesis of structure of light unmanned aerial vehicle (UAV) dynamic model parameter identification system was designed.The synthesized system has the structure of discrete-time system with tuning model. A Kalman filter based on information on measured state-vector coordinates, preliminary information on UAV dynamic model parameters,parameters of turbulence model and sensor noise characterictics gives some reference state vector.In order to determine the real state vector deflection from reference state a special state vector deflection system used, which can be considered as tuning model.The adjusting of model parameters is based on applying the stochastic approximation algorithm. The unknown parameters of discrete-time linear UAV dynamic model can be estimated by using tuning model parameters.

By using this method there were synthesized the identification systems for UAV's shortperiod longitudinal and lateral motion models.

Date received: January 14, 2000

Copyright © 2000 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cadd-40.