Open AccessAn H ∞ H - optimization approach to fault detection for UAV
Author(s) -
Hao Liu
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 - 10.1088/1742-6596/2010/1/012156
Subject(s) - fault detection and isolation , lever , throttle , fault (geology) , actuator , elevator , computer science , flight test , real time computing , control theory (sociology) , engineering , control (management) , simulation , automotive engineering , aerospace engineering , artificial intelligence , mechanical engineering , geology , seismology
Unmanned aerial vehicles (UAVs) have good maneuverability and have been widely used in many fields. Therefore, it is of great significance to detect faults in the UAV flight control system. In this paper, a method based on H ∞ H - optimization is proposed for the constant gain fault detection of UAV flight control system actuators, and the failure of UAV elevator and throttle lever parts are used as the example for simulation verification. The results show that the proposed method can realize the quick fault detection of UAV flight control system.