Volume 15, Issue 4 (Journal of Control, V.15, N.4 Winter 2022)
JoC 2022, 15(4): 71-83 |
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Hadidi M, Kargar S M. UAV attitude Sensor Fault Detection Based On Fuzzy Logic and by Neural Network Model Identification. JoC 2022; 15 (4) :71-83
URL: http://joc.kntu.ac.ir/article-1-743-en.html
URL: http://joc.kntu.ac.ir/article-1-743-en.html
1- Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
2- Smart Microgrid Research Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran
2- Smart Microgrid Research Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran
Abstract: (5372 Views)
Fault detection has always been important in aviation systems to prevent many accidents. This process is possible in different ways. In this paper, we first identify the longitudinal axis plane model using neural network approach. Then based on the obtained model and using fuzzy logic, the aircraft status sensor fault detection unit was designed. The simulation results show that the fault detection system is able to work well, with additional alarms averaging 1 alert per 4-hour flight and miss alert rates averaging 1 alert per 2 hours. The results are confirmed by the experts from the UAV system.
Type of Article: Research paper |
Subject:
Special
Received: 2020/03/1 | Accepted: 2020/12/10 | ePublished ahead of print: 2021/02/18
Received: 2020/03/1 | Accepted: 2020/12/10 | ePublished ahead of print: 2021/02/18
References
1. [1] C. Kühnert, Data-driven methods for fault localization in process technology, vol. 15. KIT Scientific Publishing, 2013.
2. [2] S. Liu, P. Lyu, J. Lai, C. Yuan, and B. Wang, "A fault-tolerant attitude estimation method for quadrotors based on analytical redundancy," Aerosp. Sci. Technol., vol. 93, 2019. [DOI:10.1016/j.ast.2019.07.023]
3. [3] Q. Liu, J. Cheng, and W. Guo, "Research on Gyro Fault Diagnosis Method Based on Wavelet Packet Decomposition and Multi-class Least Squares Support Vector Machine," pp. 789-797, 2020. [DOI:10.1007/978-981-13-9406-5_94]
4. [4] Y. Zhong, W. Zhang, Y. Zhang, J. Zuo, and H. Zhan, "Sensor Fault Detection and Diagnosis for an Unmanned Quadrotor Helicopter," J. Intell. Robot. Syst. Theory Appl., 2019. [DOI:10.1007/s10846-019-01002-4]
5. [5] S. Gao, Z. Zhang, W. Zhang, X. He, and X. Lu, "Fault diagnosis for satellite attitude control system with using extended kalman filter," Chinese Control Conf. CCC, vol. 2019-July, pp. 4789-4794, 2019. [DOI:10.23919/ChiCC.2019.8865903]
6. [6] R. Niu, W. Liu, B. Wang, L. Li, and Z. Wang, "Fault Diagnosis for Attitude Sensors based on Analytical Redundancy and EMD," Proc. 31st Chinese Control Decis. Conf. CCDC 2019, pp. 5903-5907, 2019. [DOI:10.1109/CCDC.2019.8832854]
7. [7] G. H. Li et al., "Model-based fault diagnosis method for gyro," Proc. 2019 IEEE 3rd Inf. Technol. Networking, Electron. Autom. Control Conf. ITNEC 2019, pp. 1004-1007, 2019.
8. [8] D. J. Hill and B. S. Minsker, "Anomaly detection in streaming environmental sensor data: A data-driven modeling approach," Environ. Model. Softw., vol. 25, no. 9, pp. 1014-1022, 2010. [DOI:10.1016/j.envsoft.2009.08.010]
9. [9] A. Montazeri and S. M. Kargar, "Fault detection and diagnosis in air handling using data-driven methods," J. Build. Eng., vol. 31, 2020. [DOI:10.1016/j.jobe.2020.101388]
10. [10] M. Morari, Fault Detection and Flight Data Measurement_. 2012.
11. [11] Y. Zhang and J. Jiang, "Bibliographical review on reconfigurable fault-tolerant control systems," Annu. Rev. Control, vol. 32, no. 2, pp. 229-252, 2008. [DOI:10.1016/j.arcontrol.2008.03.008]
12. [12] C. Hajiyev, H. E. Soken, and Y. Vural, State estimation and control for low-cost unmanned aerial vehicles. .
13. [13] "MTC Industries & Research Ltd. | EPICOS." [Online]. Available: https://www.epicos.com/company/10148/mtc-industries-research-ltd. [Accessed: 20-Jan-2020].
14. [14] "Northrop Grumman Delivers 8,000th LN-100 Inertial Navigation System | Unmanned Systems Technology." [Online]. Available: https://www.unmannedsystemstechnology.com/2013/05/northrop-grumman-delivers-8000th-ln-100-inertial-navigation-system/. [Accessed: 20-Jan-2020].
15. [15] F. A. Adminstration, "Basic Flight Maneuvers," Helicopter Fly. Handb., pp. 9-1--9-20, 2019.
16. [16] R. S. D Wackerly, W Mendenhall, Mathematical Statistics with Applications. 2014.
17. [17] I. C. Yeh, "Modeling of strength of high-performance concrete using artificial neural networks," Cem. Concr. Res., vol. 28, no. 12, pp. 1797-1808, 1998. [DOI:10.1016/S0008-8846(98)00165-3]
18. [18] S. R. Kondaveeti, S. L. Shah, and I. Izadi, "Application of multivariate statistics for efficient alarm generation," IFAC Proc. Vol., pp. 657-662, 2009. [DOI:10.3182/20090630-4-ES-2003.00109]
19. [19] M. Hudson Beale, M. T. B.Hagan, and H. B. and Demuth, "Neural Network ToolboxTM User's Guide R2017a," MathWorks, p. 446, 2017.
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