Journals / Hittite Journal of Science and Engineering / 2026 / Volume: 7 Issue: 3

A Model - Based Jamming Detection Method for Electro-Hydrostatic Actuators

Emre Murat Poyraz(Middle East Technical University, Department of Mechanical Engineering, Ankara,Turkey)
Ali Emre Turgut(Middle East Technical University, Department of Mechanical Engineering, Ankara,Turkey)
Hakan Caliskan(Middle East Technical University, Department of Mechanical Engineering, Ankara,Turkey)
Pages
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Publication Date
2020-09-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The experiments show that the detection performance of the method is satisfactory and the detection is performed under one second for all the test cases

📌 3 Key Takeaways

🎯
Objective & Hypothesis:A n anomaly or a fault, which may be treated as insignificant in a complicated engineering system, like an electro–hydraulic flight control actuator, can cause considerable performance degradation and deteriorating effects or even worse it may end up with a catastrophic system failure.
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Key Findings & Data:The method is based on the variance of time rate of change of disturbance load and the average tracking error.
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Conclusion & Impact:The experiments show that the detection performance of the method is satisfactory and the detection is performed under one second for all the test cases
🔬Design:Article
📍Scope:Comprehensive Sample
⚙️Variables:Fault detection and diagnosis · Disturbance observer · EHA

Abstract

A n anomaly or a fault, which may be treated as insignificant in a complicated engineering system, like an electro–hydraulic flight control actuator, can cause considerable performance degradation and deteriorating effects or even worse it may end up with a catastrophic system failure. One of the problems commonly observed in air vehicles is called jamming. Jamming is the type of failure where an actuator connected to a flight control surface permanently gets stuck at a certain position and does not move anymore. This might cause a loss of control of the air vehicle causing severe consequences. Although, there are several methods to detect jamming in the literature, still there is not a universally accepted solution. In this paper, a novel threshold-based fault detection and diagnosis method is proposed. The method is based on the variance of time rate of change of disturbance load and the average tracking error. When these two quantities are above a certain corresponding threshold, jamming is detected. The method is tested on an experimental setup. The experiments show that the detection performance of the method is satisfactory and the detection is performed under one second for all the test cases

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Cite This Article

Poyraz, E. M., Turgut, A. E., Caliskan, H. (2020). A Model - Based Jamming Detection Method for Electro-Hydrostatic Actuators. Hittite Journal of Science and Engineering, Volume: 7 Issue: 3. https://doi.org/10.17350/HJSE19030000188

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References (14)

  1. Zolghadri, A., Cieslak, J., Efimov, D., Henry, D., Goupil, P., Dayre, R., Leberre, H. Signal and model-based fault detection for aircraft systems. IFAC-PapersOnLine (2015), 48(21), 1096-1101.
  2. Ossmann, D., & Varga, A. Detection and identification of loss of efficiency faults of flight actuators. Paper presented at the Conference on Control and Fault-Tolerant Systems (SysTol), October. 2013.
  3. Cieslak, J., Efimov, D., Zolghadri, A., Gheorghe, A., Goupil, P., & Dayre, R. A Method for Actuator Lock-in-place Failure Detection in Aircraft Control Surface Servo-loops. IFAC Proceedings Volumes, 47(3), 10549-10554, 2014.
  4. Model-Based Approaches for Fast and Robust Fault Detection in an Aircraft Control Surface Servo Loop: From Theory to Flight Tests [Applications of Control]. IEEE Control Systems,33(3), 20-84, 2013.
  5. Jayakumar, M., & Das, B. Diagnosis of Incipient Sensor Faults in a Flight Control Actuation System. 2006 SICE-ICASE International Joint Conference, 2006.
  6. Varga, A., Ossmann, D., Goupil, P., & Sabot, G. Verification and validation of a FDD system for identification of aircraft control surface jamming*. IFAC Proceedings Volumes, 46(19), 84–89, 2013.
  7. Narendra, K., Balakrishnan, J., Adaptive control using multiple models. IEEE Trans. Automat. Control 42, 171–187, 1997.
  8. H. Çalışkan. “Development and Control of a Single Rod Electro Hydrostatic Actuator” Ph.D. Thesis, Middle East Technical University, Mechanical Engineering Department, 2015.
  9. Won, D., & Kim, W. Disturbance Observer based backstepping for position control of electro-hydraulic systems. International Journal of Control, Automation and Systems, 13(2), 488-493, 2015.
  10. W. Chen, D. Balance, P. Gawthrop, and J.O’Reilly. ‘’A nonlinear disturbance observer for robotic manipulators,’’ IEEE Trans. Ind. Electron., vol. 47, no. 4, pp. 932-938, 2000.
  11. Maré Jean-Charles. Aerospace Actuators 1 Needs, Reliability and Hydraulic Power Solutions. UK, 2016.
  12. Welford, B.P. Note on a method for calculating corrected sums of squares and products. Technometrics, 4, 419-420, 1962.
  13. H. U. Akova. “Design, Construction and Control of an ElectroHydraulic Load Simulator for Testing Hydraulic Drives,” M.Sc. Thesis, Middle East Technical University, Mechanical Engineering Department, 2014.
  14. Zolghadri, A., Cieslak, J., Efimov, D., Henry, D., Goupil, P., Dayre, R., Leberre, H. Signal and model-based fault detection for aircraft systems. IFAC-PapersOnLine (2015), 48(21), 1096-1101.