Electronics Optics & Control, Volume. 27, Issue 5, 80(2020)
Airborne Sensor Fault Diagnosis Based on Model Parameter Identification
[1] [1] SCHULZE K, ABRAMSON A, ROGAN B.An economical approach to autopilot development and integration[C]//AIAA the 3rd Unmanned Unlimited Technical Confe-rence, Workshop and Exhibit, 2004.doi:10.2514/6.2004-6572.
[2] [2] XIE P, MA O, FLORES-ABAD A.Development of an autonomous unmanned aerial vehicle using gas-powered RC helicopter [J].Proceedings of the Institution of Mechanical Engineers Part G-Journal of Aerospace Engineering, 2015, 229(11):1987-2005.
[8] [8] ZHANG K, JIANG B, SHI P.Fault estimation observer design for discrete-time Takagi Sugeno fuzzy systems based on piecewise Lyapunov functions[J].IEEE Transactions on Fuzzy Systems, 2012, 20(1):192-200.
[10] [10] GUO Y Y, JIANG B, ZHANG Y M, et al. Novel robust fault diagnosis method for flight control systems[J].Journal of Systems Engineering and Electronics, 2008,19(5):1017-1023.
[11] [11] XIA G H.Failure detection, isolation and compensation[D].Los Angeles:University of California, 1982.
[18] [18] JIANG B.STAROSWIECKI M.Adaptive observer design for robust fault estimation[J].International Journal of Systems Science, 2002, 33(9): 767-775.
[19] [19] ZHANG K, JIANG B, COCQUEMPOT V.Adaptive obser-verbased fast fault estimation[J].International Journal of Control, Automation and Systems, 2008, 6(3):320-326.
Get Citation
Copy Citation Text
TAN Juan, CHEN Xin, CAO Dong. Airborne Sensor Fault Diagnosis Based on Model Parameter Identification[J]. Electronics Optics & Control, 2020, 27(5): 80
Category:
Received: Apr. 29, 2019
Accepted: --
Published Online: Dec. 25, 2020
The Author Email: