Open AccessApplication of Optimal Kalman Filter to Improve the Accuracy of Aircraft Wing Vibration Parameters Measurement System
Author(s) -
Alexander A. Afonin,
Andrey S. Sulakov,
М.Ш. Маамо
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2096/1/012182
Subject(s) - kalman filter , displacement (psychology) , vibration , control theory (sociology) , system of measurement , microelectromechanical systems , wing , computer science , extended kalman filter , engineering , acoustics , aerospace engineering , artificial intelligence , physics , psychology , control (management) , quantum mechanics , astronomy , psychotherapist
This paper discusses the advantages of constructing a vibration parameters measurement system of an aircraft wing using mems IMUs. In addition to mems IMUs, the system makes use of displacement sensor and navigation system as secondary measurements, along with the optimal Kalman filter estimation. The basic principles of system operation are described. The main algorithms of the system and its errors mathematical model are presented. The results of simulation are presented, demonstrating the expected measurement accuracy of the system as a whole.