Prognostics Enhanced Reconfigurable Control of Electro-Mechanical Actuators

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

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
Abstract 621 | PDF Downloads 164

##plugins.themes.bootstrap3.article.details##

Keywords

actuator, condition monitoring, damage detection, damage modeling, damage propagation model, data driven prognostics, Electromechanical actuator, prognostics, remaining useful life (RUL), applications: automotive

References
(Arulampalam et al., 2002) M. S. Arulampalam,S. Maskell, N. Gordon, and T. Clapp. A tutorial on particle filters for online nonlinear/non-gaussian bayesian tracking. IEEE Transactions on Signal Processing, 50(2):174–188, 2002.
(Bajpai et al., 2001) G. Bajpai, B. C. Chang, and A. Lau. Reconfiguration of flight control systems for actuator failures. IEEE Aerospace and Electronic Systems Magazine, 16(9):29–33, 2001.
(Baybutt et al., 2008) M. Baybutt, S. Nanduri, P. W. Kalgren, D. S. Bodden, N. S. Clements, and S. Alipour. Seeded fault testing and in-situ analysis of critical electronic components in ema power circuitry. In IEEE Aerospace Conference, pages 1–12, Big Sky, MT, USA, 2008.
(Bemporad et al., 2004) A. Bemporad, M. Morari, and N. L. Ricker. Model Predictive Control Toolbox for Matlab. The Mathworks, Inc., Cambridge, MA, 2004.
(Birdwell et al., 1986) J. D. Birdwell, D. A. Castanon, and M. Athans. On reliable control system designs. IEEE Transactions on Systems, Man and Cybernetics, SMC-16(5):703–711, Septem- ber/October 1986.
(Birdwell, 1978) J. D. Birdwell. On Reliable Control System Designs. PhD thesis, Department of Electrical Engineering, Massachusetts Institute of Technology, Cambridge, MA, May 1978.
(Bodden et al., 2007) D. S. Bodden, N. S. Clements, B. Schley, and G. Jenney. Seeded failure testing and analysis of an electro-mechanical actuator. In IEEE Aerospace Conference, Big Sky, MT, USA, March 3-10, 2007.
(Bogdanov et al., 2006) A. Bogdanov, S. Chiu, L.U. Gokdere, and W. Vian, J. Stochastic optimal control of a servo motor with a lifetime constraint,. In Proceedings of the 45th IEEE Conference on Decision & Control, pages 4182–4187, December 2006.
(Boskovic and Mehra, 2001) J. Boskovic and R. Mehra. Hybrid fault-tolerant control of aerospace vehicles. In Proceedings of the 2001 IEEE International Conference on Control Applications, pages 441–446, September 2001.
(Brown et al., 2008) D. W. Brown, D. Edwards, G. Georgoulas, B. Zhang, and G. Vachtsevanos. Real-time fault detection and accommodation for cots resolver position sensors. In 1st International Conference on Prognostics and Health Management (PHM), Denver, CO, USA, October 6-9, 2008.
(Brown et al., 2009) D. Brown, G. Georgoulas, H. Bae, R. Chen, Y. H. Ho, G. Tannenbaum, J. B. Schroeder, and G. Vachtsevanos. Particle filter-based anomaly detection for aircraft actuator systems. In IEEE Aerospace Conference, Big Sky, MT, USA, March 7-14, 2009.
(Cairano et al., 2007) S. Di Cairano, A. Bemporad, I. Kolmanovsky, and D. Hrovat. Model predictive control of magnetically actuated mass spring dampers for automotive applications. International Journal of Control, 80(11):1701–1716, November 2007.
(Camacho and Bordons, 2004) Eduardo F. Camacho and Carlos Bordons. Model Predictive Control. Springer-Verlag, 2nd edition, 2004. ISBN 978-1- 85-233694-3.
(Clements et al., 2000) N.S. Clements, B.S. Heck, and G. Vachrsevanos. Component based modeling and fault tolerant control of complex systems. In Proceedings of the 19th Digital Avionics Systems Conference, volume 2, pages 6F4/1–6F4/4, October 7-13, 2000.
(Clements, 2003) N. S. Clements. Fault Tolerant Control of Complex Dynamical Systems. PhD thesis, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA, April 2003.
(Doucet et al., 2000) A. Doucet, S. Godsill, and C. Andrieu. On sequential monte carlo sampling methods for bayesian filtering. Statistics and Computing, 10(3):197–208, 2000.
(Drozeski and Vachtsevanos, 2005) G. Drozeski and G. Vachtsevanos. A fault-tolerant architecture with reconfigurable path planning applied to an unmanned rotorcraft. In Proceedings of the American Helicopter Society 61st Annual Forum, June 2005.
(Drozeski et al., 2005) G. Drozeski, B. Saha, and G. Vachtsevanos. A fault detection and reconfigurable control architecture for unmanned aerial ve-
hicles. In Proceedings of the IEEE Aerospace Conference, Big Sky, MT, USA, March 2005.
(Filippetti et al., 2000) F. Filippetti, G. Franceschini, C. Tassoni, and P. Vas. Recent developments of induction motor drives fault diagnosis using ai techniques. IEEE Transactions on Industrial Electronics, 47(5):994–1004, October 2000.
(Fletcher, 2000) R. Fletcher. Practical Methods of Optimization. John Wiley & Sons Ltd., New York, NY, USA, 2nd edition, May 2000. ISBN 978-0- 471-49463-8.
(Gokdere et al., 2006) L. U. Gokdere, A. Bogdanov, S. L. Chiu, K. J. Keller, and J. Vian. Adaptive control of actuator lifetime. In IEEE Aerospace Conference, March 2006.
(Guler et al., 2003) M. Guler, S. Clements, L. Wills, B. Heck, and G. Vachtsevanos. Generic transition management for reconfigurable hybrid control systems. IEEE Control Systems Magazine, 23(1):36– 49, February 2003.
(Gutierrez et al., 2003) L. B. Gutierrez, G. Vachtse- vanos, and B. Heck. A hierarchical/intelligent control architecture for unmanned aerial vehicles. In Proceedings of 11th Mediterranean Conference on Control and Automation MED, Rhodes, Greece, June 2003.
(Heck et al., 2003) B. Heck, L. Wills, and G. Vacht- sevanos. Software technology for implementing reusable, distributed control systems. IEEE Control Systems Magazine, 23(1):21–35, February 2003. Outstanding Paper Award.
(Hines et al., 2003) W. W. Hines, D. C. Montgomery, D. Goldsman, and C. Borror. Probability and Statistics in Engineering. John Wiley and Sons, 4th edition, 2003. ISBN 978-0-471-24087-7.
(Hovakimyan, 2008) N. Hovakimyan. Adaptive control lecture notes. School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA, March 2008.
(Isermann, 1984) R. Isermann. Process fault detection based on modeling and estimation methods - a survey. Automatica, 20(4):387–404, 1984.
(Isermann, 1997) R. Isermann. Supervision, fault- detection and fault diagnosis methods – an introduction. Journal of Control Engineering Practice, 5(5):639–652, May 1997.
(Kamen et al., 1994) E. W. Kamen, G. J. Vachtse- vanos, A. Doustmohammadi, and W. Mahmood. A hybrid analytical/intelligent approach to the modeling and control of deds. In Proceedings of the IEEE/IFAC Joint Symposium on Computer-Aided Control System Design, March 1994.
(Kleer and Williams, 1987) J. De Kleer and B. C. Williams. Diagnosing multiple faults. Artificial Intelligence, 32(1):97–130, 1987.
(Kutner et al., 2004) Michael Kutner, Christopher Nachtsheim, John Neter, and William Li. Applied Linear Statistical Models. McGraw Hill, 5th edition, 2004. ISBN 978-0-39059-173-9.
(Levis, 1987) A. H. Levis. Challenges to control: A collective view. IEEE Transactions on Automatic Control, AC-32:275–285, 1987.
(Liu, 1996) W. Liu. An on-line expert system-based fault tolerant control system. Expert Systems With Applications, 11(1):59–64, 1996.
(Maciejowski, 2002) J.M. Maciejowski. Predictive Control with Constraints. Prentice-Hall, Pearson Education Limited, Harlow, UK, 2002. ISBN 978- 0-20-139823-6.
(Malik et al., 1998) N. H. Malik, A. A. Al-Arainy, and M. I. Quereshi. Electrical Insulation in Power Systems. Marcel Dekker, Inc., New York, NY, 1998.
(Monaco et al., 2004) J. F. Monaco, Ward D.G., and A. J. D. Bateman. A retrofit architecture for model- based adaptive flight control. In AIAA 1st Intelligent Systems Technical Conference, Chicago, IL, USA, September 20-22 2004.
(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.
(Vachtsevanos et al., 2005) G. Vachtsevanos, L. Tang, G. Drozeski, and L. Gutierrez. From mission planning to flight control of unmanned aerial vehicles: Strategies and implementation tools. Annual Reviews in Control, 29(1):101–115, April 2005.
(Ward et al., 2001) D. G. Ward, J. F. Monaco, R. L. Barron, and R. A. Bird. System for improved receding-horizon adaptive and reconfigurable control, March 2001.
(Watanabe and Himmelblau, 1982) K. Watanabe and D. M. Himmelblau. Instrument fault detection in systems with uncertainties. International Journal on System Science, 13:137–158, 1982.
(Willsky, 1976) A. S. Willsky. A survey of design methods for failure detection in dynamic systems. Automatica, 12(6):601–611, 1976.
(Wu et al., 2004) B. Wu, S. Abhinav, T. Khawaja, and S. Panagiotis. An approach to fault diagnosis of helicopter planetary gears. In IEEE Autotestcon, San Antonio, TX, USA, September 20-23, 2004.
(Wu, 1997) N. E. Wu. Robust feedback design with optimized diagnostic performance. IEEE Trans- actions on Automatic Control, 42(9):1264–1268, September 1997.
(Xianrong et al., 2003) C. Xianrong, V. Cocquempot, and C. Christophe. A model of asynchronous ma- chines for stator fault detection and isolation. IEEE Transactions on Industrial Electronics, 50(3):578– 584, June 2003.
(Yavrucuk et al., 1999) I. Yavrucuk, J. V. R. Prasad, and S. V. Hanagud. Reconfigurable flight control using rpm control for heli-uav’s. In Proceedings of the 25th European Rotocraft Forum, 1999.
(Ye and Yang, 2006) Dan Ye and Guang-Hong Yang. Adaptive fault-tolerant tracking control against ac- tuator faults with application to flight control. IEEE Transactions on Control Systems Technology, 14(6):1088–1096, November 2006.
(Zhang and Jiang, 2003) Y. Zhang and J. Jiang. Bibliographical review on reconfigurable fault-tolerant control systems. In Proceeding of the SAFEPRO- CESS 2003: 5th Symposium on Detection and Safety for Technical Processes, pages 265–276, Washington D.C., USA, 2003.
(Zhang et al., 2008a) B. Zhang, G. Georgoulas, M. Orchard, A. Saxena, D. Brown, G. Vachrse- vanos, and S. Liang. Rolling element bearing feature extraction and anomaly detectioni based on vibration monitoring. In 16th Mediterranean Conference on Control and Automation, Ajaccio, France, June 25-27, 2008.
(Zhang et al., 2008b) B. Zhang, C. Sconyers, C. By- ington, R. Patrick, M. Orchard, and G. Vachtse- vanos. Anomaly detection: A robust approach to detection of unanticipated faults. In 1st International Conference on Prognostics and Health Management (PHM), Denver, CO, USA, October 6-9, 2008.
(Zhou et al., 1996) K. Zhou, J. C. Doyle, and K. Glover. Robust and optimal control. In Proceedings of the 35th IEEE Decision and Control, Kobe, Japan, December 11-13, 1996.
Section
Technical Research Papers

Most read articles by the same author(s)

1 2 3 4 5 6 7 8 9 > >>