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Proceedings Paper

A real-time engineering software system for failure detection and isolation of self-repairing flight control system
Author(s): Juan Deng; Jianliang Ai; Min Gao; Changhang Luo
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Paper Abstract

This paper introduces a real-time Failure Detection and Isolation (FDI) software system of Self-Repairing Flight Control System (SRFCS) that is developed by Institute of Vehicle Design of Fudan University. An algorithm of adopting the method of parity space to get residual sequences and the theory of residual vector data fusion is applied to detecting and isolating the abrupt change failures of SRFCS, especially the actuators' failures, single control surface's failures and multiple failures. The system follows the theory of object-oriented software design by adopting the design idea of modularization and uses Dynamic Link Library (DLL) widely so that it is easy to replant new modules and extend its ability freely. The interface of this system is friendly and the operation on it is convenient. In this paper, the system is applied to the flight control system of some type of fighter of Chinese Air Force and the results show that this software system can detect single control surface's failures within 0.125 seconds (10 sampling periods) and actuators' failures within 0.0625 seconds (5 sampling periods) under strong noise circumstances. The test results based on the simulated data prove the validity of the theory, the robust and real time property of the developed software.

Paper Details

Date Published: 30 October 2006
PDF: 7 pages
Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 63584L (30 October 2006); doi: 10.1117/12.718209
Show Author Affiliations
Juan Deng, Fudan Univ. (China)
Jianliang Ai, Fudan Univ. (China)
Min Gao, Northwestern Polytechnical Univ. (China)
Changhang Luo, Fudan Univ. (China)


Published in SPIE Proceedings Vol. 6358:
Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation
Jiancheng Fang; Zhongyu Wang, Editor(s)

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