Advertisement

New Results of the Development and Application of Robust Observers

  • Dirk Söffker
Part of the Solid Mechanics and its Applications book series (SMIA, volume 130)

Abstract

This contribution deals with a model-based approach for fault detection and vibration control of elastic mechanical structures. Especially in the case of lightweighted structures, online and in-situ fault diagnosis becomes important due to internal delamination processes of modern CFK-materials. Additionally faults like cracks or impacts acting on a flexible structure has to be observed. Structural-Health-Monitoring (SHM) concepts deal with different tools to realize safe adaptronic structures, realizing fault monitoring and repair mechanism in combination with intelligent monitoring of the hazard rate of the complete structural integrity.

Core of the contribution are new results of the development and application of the robust PI-Observer. Due to the fact that the lifetime of modern actuators (piezoelectric or shape-memory-alloy based) strongly depends on the use intensity safety aspects become more and more relevant. Here briefly the SRCE-concept will be declared.

Key words

elastic structure diagnosis control monitoring SHM adaptronic PI-Observer 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    Abicht, C., Bormann, J., Müller, P.C., Söffker, D. and Ulbrich, H. (2001). Model-Based Estimation of Impact Forces Affecting Elastic Structures: Simulation and Experiment. In 18th ASME-DECT Conference on Mechanical Vibration and Noise, Pittsburgh PA, USA, 6 pp.Google Scholar
  2. [2]
    Beale, S. and Shafai, B. (1989). Robust Control Design with a Proportional Integral Observer. Int. J. Control, Vol. 50, pp. 97–111.MathSciNetGoogle Scholar
  3. [3]
    Cordes, J. (1992). Robuste Regelung eines elastischen Teleskoproboterarmes. Fortschritte der Robotik, Bd. 12, Vieweg Verlag, Braunschweig, Germany.Google Scholar
  4. [4]
    Davison, E.J. (1972). The Output Control of Linear Time-Invariant Multivariable Systems with Unmeasurable Arbitrary Disturbances. IEEE Trans. AC, Vol. 17, pp. 621–630.zbMATHMathSciNetGoogle Scholar
  5. [5]
    Frank, P.M. and Wünnenberg, F. (1989). Robust Fault Diagnosis Using Unknown Input Observer Scheme. In: Fault Diagnosis in Dynamic Systems; Theory and Application, Patton, R.J., Frank, P.M. and Clark, R.N. (eds.), Prentice Hall, Engelwood Cliffs.Google Scholar
  6. [6]
    Gao, Z., Hu, S. and Jiang, F. (2001). A Novel Motion Control Design Approach Based on Active Disturbance Rejection. In: Proc. 40th IEEE Conference on Decision and Control, Orlando, FL, pp. 4877–4882.Google Scholar
  7. [7]
    Kashi, K. and Söffker, D. (2004). Model-Based Estimation of a Force and Displacement of a Hydraulic Cylinder. In: Proc. 7th International Symposium on Advanced Vehicle Control KIVI-NIRIA, Arnheim, the Netherlands.Google Scholar
  8. [8]
    Krajcin, I. and Söffker, D. (2003). Modified PIO Design of Robust Unknown Input Estimation. In: Proc. 19th ASME-DECT Biennial Conference on Mechanical Vibration and Noise, Symposium on Systems with Frictions and Impacts: Modeling, Stability and Control, Chicago, IL, USA, 6 pp.Google Scholar
  9. [9]
    Krajcin, I. and Söffker, D. (2005). Advanced Model-Based Compensation Control Using Proportional-Integral Observer. In: Proc. of DECT05, 20th Biennial Conference on Mech. Vibration and Noise, Long Beach (CA), September 24–28, 2005, accepted.Google Scholar
  10. [10]
    Krajcin, I. and Söffker, D. (2005). Diagnosis and Control of 3D Elastic Mechanical Structures. In: Proc. 12th SPIE Symposium on Smart Structures and Materials, March 6–10, 2005, San Diego, CA, USA.Google Scholar
  11. [11]
    Kranock, S.J. and Peterson, L.D. (1998). Real-Time Structural Health Monitoring Using Model-Based Observers. In: Proc. SPIE Conference on Mathematics and Control in Smart Structures, San Diego, CA, USA, pp. 711–722.Google Scholar
  12. [12]
    Marghitu, D.B. and Diaconescu, C.I. (1999). Control Techniques for Impacting Flexible systems. Arch. Appl. Mech., Vol. 69, pp. 555–568.Google Scholar
  13. [13]
    Müller, P.C. and Lückel, J. (1977). Zur Theorie der Störgrössenaufschaltung in linearen Mehrgrössenregelsystemen. Regelungstechnik, Vol. 25, pp. 54–59.Google Scholar
  14. [14]
    Patton, R.J., Frank, P.M. and Clark, R.N. (2000). Issues in Fault Detection for Dynamic Systems. Springer, London.Google Scholar
  15. [15]
    Pedemonte, P., Staszewski, W.J., Aymerich, F., Found, M.S. and Priolo, P. (2001). Signal Processing for Passive Impact Damage Detection in Composite Structures. In: Proc. SPIE Smart Structures and Materials, pp. 169–178.Google Scholar
  16. [16]
    Petersen, I.R. and Hollot, C.V. (1988). High-Gain Observer Approach to Disturbance Attenuation Using Measurement Feedback. Int. J. Control, Vol. 48, pp. 2453–2464.MathSciNetGoogle Scholar
  17. [17]
    Shopra, I. (2002). Review of State of Art of Smart Structures and Integrated Systems. AIAA J., Vol. 40, No. 11, pp. 2145–2187.Google Scholar
  18. [18]
    Söffker, D., Bajkowski, J. and Müller, P.C. (1993). Detection of Cracks in Turbo Rotors — A New Observer Based Method. ASME Journal of Dynamic Systems, Measurements, and Control, Vol. 3, pp. 518–524.Google Scholar
  19. [19]
    Söffker, D., Yu, T.J. and Müller, P.C. (1995). State Estimation of Dynamical Systems with Nonlinearities by Using Proportional-Integral Observer. Int. J. Sys. Sc., Vol. 26, pp. 1571–1582.Google Scholar
  20. [20]
    Söffker, D. (1995). A New Model-Based Tool for Failure Detection and Isolation in Machine-and Rotordynamics. ASME DE-Vol. 83-2, pp. 233–242.Google Scholar
  21. [21]
    Söffker, D. (1995). Elastic Robot Arms with Varying Length — Part II: Robust Control of Elastic Vibrations. In: Vibration of Nonlinear, Random, and Time-Varying Systems — Time Varying Systems and Structures, Sinha, S.C., Cusumano, J.P. and Pfeifer, F. (eds), ASME DE-Vol. 84-1, pp. 109–119.Google Scholar
  22. [22]
    Söffker, D. (2000). Zur Online-Bestimmung von Zuverlässigkeits-und Nutzungskenngrössen innerhalb des SRCE-Konzeptes. at-Automatisierungstechnik, Vol. 48, pp. 383–391.Google Scholar
  23. [23]
    Söffker, D., Kashi, K. and Wolters, K. (2005). Integration of Reliability Concepts, Diagnosis, and Control to Realize Safe Systems. In: Proc. of ESREL 2005, Poland, August 2005, accepted.Google Scholar

Copyright information

© Springer 2005

Authors and Affiliations

  • Dirk Söffker
    • 1
  1. 1.Chair of Dynamics and ControlUniversity Duisburg-EssenGermany

Personalised recommendations