Hardware and software design of highly reliable integrated navigation system for long-endurance UAV

The SINS/GNSS/CNS integrated navigation system in this paper is designed in order to meet the demand of highly reliable navigation of UAV during long flight. Based on redundancy configuration technology, the hardware solutions of the integrated navigation system is designed using redundant navigation subsystem, dual navigation computer and some other components. The integrated navigation system software includes driver, communication and fault-tolerant filtering algorithms. The fault tolerance algorithm is designed based on fault detection algorithm and federal filtering structure. The prototype of the integrated navigation system and its experimental platform were built, and the relating test was carried out on the highway.

[1]  Song Kaichen Design of navigation system based on dual DSP and FPGA , 2010 .

[2]  Thomas Kerr,et al.  Decentralized Filtering and Redundancy Management for Multisensor Navigation , 1987, IEEE Transactions on Aerospace and Electronic Systems.

[3]  P.J.G. Teunissen Quality control in integrated navigation systems , 1990, IEEE Symposium on Position Location and Navigation. A Decade of Excellence in the Navigation Sciences.

[4]  Guo Long-hua A Study on Model of Strapdown Inertial/Starlight Integrated Guidance System for Ballistic Missiles , 2008 .

[5]  Jie Chen,et al.  Robust Model-Based Fault Diagnosis for Dynamic Systems , 1998, The International Series on Asian Studies in Computer and Information Science.

[6]  John Weston,et al.  Strapdown Inertial Navigation Technology , 1997 .

[7]  Agus Budiyono,et al.  Principles of GNSS, Inertial, and Multi-sensor Integrated Navigation Systems , 2012 .

[8]  Mats A. Brenner,et al.  lntegrated GPS/lnertial Fault Detection Availability , 1995 .

[9]  N. A. Carlson,et al.  Federated filter for fault-tolerant integrated navigation systems , 1988, IEEE PLANS '88.,Position Location and Navigation Symposium, Record. 'Navigation into the 21st Century'..

[10]  John Weston,et al.  Strapdown Inertial Navigation Technology, Second Edition , 2005 .