Abstract
The role of the uav navigation system is to provide navigation data to the flight control computer for guidance and control. Any error in the navigation system may lead to the failure of the whole UAV. Therefore, the navigation system should have fault detection and isolation (FDI) algorithm. This paper studies a low-cost integrated navigation system with fault detection and isolation (FDI) for uav navigation. The hardware includes low-cost commercial MEMS, GPS receiver, magnetometer and navigation computer, and the software includes kalman filter with FDI algorithm. Through simulation experiments, it is verified that the system has certain practical value with faster convergence and smaller combination error after adopting FDI algorithm.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
