Volume 36, Number 4, August 2018
|Page(s)||761 - 767|
|Published online||24 October 2018|
Research on Fault-Tolerant Flight Control Computer for High Altitude Long Endurance Unmanned Air Vehicle
School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, China
2 Xi’an ASN Technology Group Company, Xi’an 710065, China
With the development of high altitude long endurance UAV, Flight Control System in high altitude long endurance UAV must have so strong failure tolerance ability that it can improve the whole system reliability. Using redundancy technique can extremely improve failure tolerance and reliability of flight control system. Compared among civil and military aircraft and UAV, the architectures and redundancy management of fault-tolerant flight control computer (FCC)systems are introduced. Then, give a new architectures and redundancy management of fault-tolerant FCC systems for high altitude long endurance UAV. The experimental results show that the system meets the UAV's demand of high reliability, low cost and good expansibility, maximize the utilization of system resources and effectively improve the fault tolerant capability of airborne computer and the reliability of sensor subsystem. With fault injection test method, the results show that the fault tolerant methods improve fault detection rate and fault isolation rate.
Key words: fault tolerance / flight control system / unmanned air vehicle(UAV)
关键字 : 容错 / 飞行控制系统 / 无人机
© 2018 Journal of Northwestern Polytechnical University. All rights reserved.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.