Open AccessIncreasing the accuracy of the automatic control system of unmanned aircraft under conditions of non-stationary interference
Author(s) -
Y. F. Yatsyna,
Yu. V. Gridnev,
A. A. Shchauleu
Publication year - 2021
Publication title -
vescì nacyânalʹnaj akadèmìì navuk belarusì. seryâ fìzìka-tèhnìčnyh navuk
Language(s) - English
Resource type - Journals
eISSN - 2524-244X
pISSN - 1561-8358
DOI - 10.29235/1561-8358-2021-66-2-241-249
Subject(s) - kalman filter , interference (communication) , noise (video) , control theory (sociology) , transformation (genetics) , computer science , filter (signal processing) , control system , control engineering , engineering , artificial intelligence , control (management) , computer vision , channel (broadcasting) , biochemistry , chemistry , electrical engineering , image (mathematics) , gene , computer network
An approach to solving the problem of improving the accuracy of an automatic control system for unmanned aerial vehicles (UAVs) in conditions of non-stationary interference is considered. Such interference is caused by random changes in the noise of the measuring sensors, which are installed in the UAV, when changing the yaw, roll and flight altitude of the UAV due to restructuring or transformation of the operating mode of the propulsion system of the UAV. Non-stationary noises do not allow obtaining the maximum effect of applying the theory of optimal filtration based on the classical Kalman filter. The authors proposed a method of stabilizing sensor noise by using a noise automatic gain control circuit installed in front of the Kalman filter. For its quantitative assessment, a team of authors developed a computer model and carried out dynamic modeling based on test signals, which showed the applicability of the classical Kalman filter in non-stationary conditions and a decrease in the filtering errors of the automatic control system.