A model-based observer for state and stress estimation in structural and mechanical systems: Experimental validation

Mechanical Systems and Signal Processing

Volumn 43, Issue 1-2, 2014, Pages 141-152

  Erazo, Kalil ^a   Hernandez, Eric M ^a  

^a University of Vermont ^*  (United States)

Author keywords

Finite element models; Kalman filter; Observers; State estimation; Stress estimation; Structural health monitoring

Indexed keywords

BAND-LIMITED EXCITATIONS; COMPUTATIONAL EFFORT; EXPERIMENTAL VALIDATIONS; IMPACT HAMMER TESTS; LUENBERGER OBSERVERS; MODEL BASED OBSERVER; OBSERVERS; STRESS ESTIMATION;

ELECTRIC DRIVES; EXPERIMENTS; FINITE ELEMENT METHOD; KALMAN FILTERS; MECHANICAL ENGINEERING; MECHANICS; POWER SPECTRAL DENSITY; RANDOM PROCESSES; STATE ESTIMATION; STRUCTURAL HEALTH MONITORING;

ESTIMATION;

EID: 84889102252     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2013.10.011     Document Type: Article

References (23)

1. M.J. Balas Do all linear flexible structures have convergent second-order observers? AIAA J. Guidance Control Dyn. 4 1998 2319 2323
2. E.M. Hernandez, and D. Bernal State estimation in structural systems with model uncertainties ASCE J. Eng. Mech. 134 2008 252 257
3. V. Bolotin Mechanics of Fatigue 1999 CRC Press Boca Raton, FL, USA
4. W. Brogan Modern Control Theory 1991 Prentice Hall NJ, USA
5. C. Chipman, and P. Avitable Expansion of transient operating data Mech. Syst. Signal Process. 31 2012 1 12
6. A. Gelman, J. Carlin, H. Stern, and D. Rubin Bayesian Data Analysis 2004 Chapman and Hall/CRC Boca Raton, FL, USA
7. M. Grewal, and A. Andrews Kalman Filtering, Theory and Practice using MATLAB 1998 Wiley NJ, USA
8. E.M. Hernandez A natural observer for optimal state estimation in second order linear structural systems Mech. Syst. Signal Process. 25 2011 2938 2947
9. E.M. Hernandez Optimal model-based state estimation in mechanical and structural systems J Struct. Control Health Monit. 20 2011 532 543
10. E.M. Hernandez, D. Bernal, and L. Caracoglia, On-line monitoring of wind induced stresses and fatigue damage in instrumented structures J. Struct. Control Health Monitor. 20 2013 1291 1302
11. R.E. Kalman A new approach to linear filtering and prediction problem J. Basic Eng., Trans. ASME 82 1960 35 45
12. Z. Ladin, and G. Hu Combining position and acceleration measurements for joint force estimation J. Biomech. 24 1991 1173 1187
13. M.P. Limongelli Optimal location of sensors for reconstruction of seismic responses through spline function interpolation J. Earthquake Eng. Struct. Dyn. 32 1 2003 1055 1074
14. H. Liu State-space analysis of cardiac motion with biomechanical constraints IEEE Trans. Image Process. 16 4 2007 901 917
15. D. Luenberger Observer Theory 1970 John Wiley and Sons New York, NY, USA
16. MATLAB, The MathWorks Inc., MA, USA, R2012a.
17. L. Meirovitch Fundamentals of Vibrations 2001 McGrawHill New York, NY, USA
18. J. Mendel Computational requirements for a discrete Kalman filter IEEE Trans. Autom. Control 16 6 1971 748 758
19. C. Papadimitriou, C.P. Fritzen, P. Kraemer, and E. Ntotsios Fatigue predictions in entire body of metallic structures from a limited number of vibration sensors using Kalman filtering J. Struct. Control Health Monit. 18 5 2011 554 573
20. J. Proakis, and D. Manolakis Digital Signal Processing 1996 Prentice Hall NJ, USA
21. D. Simon Optimal State Estimation 2006 John Wiley and Sons New York, NY, USA
22. H. Waller, and R. Schmidt The application of state observers in structural dynamics Mech. Syst. Signal Process. 4 3 1990 195 213
23. L. Threfeten Approximation Theory and Approximation Practice 2012 SIAM Press USA