Prognostics Enhanced Reconfigurable Control of Electro-Mechanical Actuators
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Published
Mar 26, 2021
Douglas W. Brown
George Georgoulas
Brian Bole
Hai-Long Pei
Marcos Orchard
Liang Tang
Bhaskar Saha
Abhinav Saxena
Kai Goebel
George Vachtsevanos
Abstract
Actuator systems are employed widely in aerospace, transportation and industrial processes to provide power to critical loads, such as aircraft control surfaces. They must operate reliably and accurately in order for the vehicle / process to complete successfully its designated mission. In- cipient actuator failure conditions may severely endanger the operational integrity of the vehicle / process and compromise its mission. The ability to maintain a stable and credible operation, even in the presence of incipient failures, is of paramount importance to accomplish “must achieve” mission objectives. This paper introduces a novel methodology for the fault-tolerant design of critical subsystems, such as an Electro-Mechanical Actuator (EMA), that takes advantage of on-line, real-time estimates of the Remaining Useful Life (RUL) or Time-to-Failure (TTF) of a failing component and reconfigures the available control authority by trading off system performance with control activity. The primary goal is to complete critical mission objectives within a time window dictated by prognostic algorithms so that the fault mode is accommodated and an acceptable level of performance maintained for the duration of the mission. The proposed fault-tolerant control design is mathematically rigorous, generic and applicable to a variety of application domains. An EMA is used to illustrate the efficacy of the proposed approach.
How to Cite
W. Brown, D., Georgoulas, G. ., Bole, B. ., Pei, H.-L. ., Orchard , M. ., Tang, L. ., Saha, B. ., Saxena, A. ., Goebel , K. ., & Vachtsevanos , G. . (2021). Prognostics Enhanced Reconfigurable Control of Electro-Mechanical Actuators. Annual Conference of the PHM Society, 1(1). Retrieved from https://papers.phmsociety.org/index.php/phmconf/article/view/1635
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Keywords
actuator, condition monitoring, damage detection, damage modeling, damage propagation model, data driven prognostics, Electromechanical actuator, prognostics, remaining useful life (RUL), applications: automotive
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(Mufti and Vachtsevanos, 1995) M. Mufti and G. Vachtsevanos. An intelligent approach to fault detection and identification. In Proceedings of American Control Conference, June 1995.
(Murray et al., 2002) A. Murray, B. Hare, and A. Hi- rao. Resolver position sensing system with integrated fault detection for automotive applications. In Proceedings of IEEE Sensors, volume 2, pages 864–869, 2002.
(Nandi and Toliyat, 1999) S. Nandi and H. A. Toliyat. Condition monitoring and fault diagnosis of electrical machines - a review. In Proceedings of the 34th Annual Meeting of the IEEE Industry Applications, pages 197–204, 1999.
(Nave, 2008) C. Nave. Resistance: Temperature coefficient. Online, September 8 2008.
(Nestler and Sattler, 1993) H. Nestler and Ph. K. Sat- tler. On-line estimation of temperatures in electrical machines by an observer. Electric Power Components and Systems, 21(1):39–50, January 1993.
(Nguyen and Liu, 1998) D. Nguyen and D. B. Liu. Recovery blocks in real-time distributed systems. In Proceedings of the Annual Reliability and Maintainability Symposium, pages 149–154, 1998.
(Orchard et al., 2008) M. Orchard, G. Kacprzynski, K. Goebel, B. Saha, and G. Vachtsevanos. Ad- vances in uncertainty representation and management for particle filtering applied to prognostics. In 1st International Conference on Prognostics and Health Management (PHM), Denver, CO, USA, October 6-9, 2008.
(Orchard, 2007) M. Orchard. A Particle Filtering- based Framework for On-line Fault Diagnosis and Failure Prognosis. PhD thesis, School of Electri- cal and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA, November 2007.
(Paris and Gomez, 1961) P. C. Paris and W. E. Gomez, M. P. anderson. A rational analytic theory of fatigue. The Trend in Engineering, 13(7):9, 1961.
(Penman et al., 1994) J. Penman, H. G. Sedding, B. A. Lloyd, and W. T. Fink. Detection and location of interturn short circuits in the stator windings of operating motors. IEEE Transactions on Energy Conversion, 9(4):652–658, December 1994.
(Qin and Badgwell, 2003) S. J. Qin and T. A. Badg- well. A survey of industrial model predictive control technology. Control Engineering Practice, 11(11):733–764, July 2003.
(Rausch et al., 2007) R. Rausch, K. Goebel, N. Ek- lund, and B. Brunell. Integrated fault detection and accommodation: A model-based study. Journal of Engineering for Gas Turbines and Power, 129(4):962–969, October 2007.
(Saberi et al., 2000) Ali Saberi, Anton A. Stoorvogel, Peddapullaiah Sannuti, and Henrik Niemann. Fun- damental problems in fault detection and identification. International Journal of Robust and Nonlinear Control, 10(14):1209–1236, November 2000.
(Schoen et al., 1995) R.R. Schoen, T.G. Habetler, F. Kamran, and R.G. Bartfield. Motor bearing damage detection using stator current monitoring. IEEE Transactions on Industry Applications, 31(6):1274– 1279, November/December 1995.
(Skormin et al., 1994) V. A. Skormin, J. Apone, and J. J. Dunphy. On-line diagnostics of a self- contained flight actuator. IEEE Transactions on Aerospace and Electronic Systems, 30(1):186–196, January 1994.
(Stoustrup et al., 1997) Jakob Stoustrup, M. J. Grim- ble, and Henrik Niemann. Design of integrated systems for the control and detection of actuator/sensor faults. Sensor Review, 17(2):38–149, 1997.
(Tang et al., 2008) Liang Tang, Gregory J. Kacprzyn- ski, Kai Goebel, Abhinav Saxena, Bhaskar Saha, and George Vachtsevanos. Prognostics-enhanced automated contingency management for advanced autonomous systems. In 1st International Conference on Prognostics and Health Management (PHM), pages 1–9, Denver, CO, USA, October 6- 9, 2008.
(Tavner and Penman, 1987) P. J. Tavner and J. Penman. Condition Monitoring of Electrical Machines. Research Studies Press, 1987. ISBN 978-0-86341- 741-2.
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