Derivative free filtering in hydraulic systems for fault identification

Control Engineering Practice

Volumn 19, Issue 7, 2011, Pages 649-657

  Mahulkar, Vishal ^a   Adams, Douglas E ^a   Derriso, Mark ^b  

^a Air Force Research Laboratory ^*  (United States)

^b AIR FORCE RESEARCH LABORATORY   (United States)

Author keywords

Divided difference filtering; Estimation; Fault identification; Hydraulic system; Leakage; System identification

Indexed keywords

DIVIDED DIFFERENCE; FAULT IDENTIFICATION; HYDRAULIC SYSTEM; LEAKAGE; SYSTEM IDENTIFICATION;

ESTIMATION; FEEDBACK LINEARIZATION; HYDRAULICS; IDENTIFICATION (CONTROL SYSTEMS); REAL TIME SYSTEMS; ROBUST CONTROL;

HYDRAULIC EQUIPMENT;

EID: 79957954906     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conengprac.2011.01.003     Document Type: Article

References (39)

1. Alleyne A., Hedrick K.J. Nonlinear adaptive control of active suspension. IEEE Transactions on Control System Technology 1995, 3:94-101.
2. Alleyne A., Liu R. A simplified approach to force control for electro-hydraulic systems. Control Engineering Practice 2000, 8:1347-1356.
3. An, L., & Sepehri, N. (2003). Hydraulic actuator circuit fault detection using extended Kalman filters. In Proceedings of the American control conference (pp. 4261-4266).
4. Boutayeb M., Aubry D. A strong tracking extended Kalman observer for nonlinear discrete-time systems. IEEE Transactions on Automatic Control 1999, 44:1550-1556.
5. Cho Y.M., Rajamani R. A systematic approach to adaptive observer synthesis for nonlinear systems. IEEE Transactions on Automatic Control 1997, 42:534-537.
6. Dash S., Venkatasubhamanian V. Challenges in industrial applications of fault diagnosis systems. Computers and Chemical Engineering 2000, 24:785-791.
7. Garimella, P., & Yao, B. (2005). Model based fault detection of an electro-hydraulic cylinder. In American control conference (pp. 484-489).
8. Goharrizi A.Y., Sepehri N., Wu Y. A wavelet-based approach for diagnosis of internal leakage in hydraulic actuators using on-line measurements. International Journal of Fluid Power 2010, 11:61-69.
9. Golub G.H., Loan C.F.V. Matrix computations 1996, The John Hopkins University Press. 3rd ed.
10. Gunther R.K., Yaz S.E., Unbehauen R. Stochastic stability of the discrete-time extended Kalman filter. IEEE Transactions on Automatic Control 1999, 44:714-728.
11. Hammouri H., Kabore P., Othman S., Biston J. Failure diagnosis and nonlinear observer. Application to a hydraulic process. Journal of the Franklin Institute 2002, 339:455-478.
12. Isermann R. Process fault detection based on modeling and estimation methods-a survey. Automatica 1984, 20:387-404.
13. Isermann R. Fault diagnosis of machines via parameter estimation and knowledge processing: Tutorial paper. Automatica (Journal of IFAC) 1993, 29:815-835.
14. Isermann R. Model-based fault-detection and diagnosis-status and applications. Annual Reviews in Control 2005, 29:71-85.
15. Isermann R. Fault-diagnosis systems: An introduction from fault detection to fault tolerance 2006, Springer-Verlag, Berlin.
16. Jelali M., Kroll A. Hydraulic servo-systems: Modeling identification and control 2004, Springer.
17. Julier S.J., Uhlmann J.K. Unscented filtering and nonlinear estimation. Proceedings of the IEEE 2004, 92:401-422.
18. Kudva P., Vishwanadham N., Ramakrishna A. Observers for linear systems with unknown inputs. Automatica 1980, 22:333-344.
19. Lin J.S., Kanellakopoulos I. Nonlinear design of active suspensions. IEEE Control Systems Magazine 1995, 3:45-49.
20. Ljung L. Asymptotic behaviour of the extended Kalman filter as a parameter estimator for linear systems. IEEE Transactions on Automatic Control 1979, 24:36-50.
21. Merritt H.E. Hydraulic control systems 1967, John Wiley and Sons.
22. Norgaard M., Poulsen N.K., Ravn O. New developments in state estimation for nonlinear systems. Automatica 2000, 36:1627-1638.
23. Patton R., Clark R., Frank P. Fault diagnosis in dynamic systems: Theory and applications 1989, Prentice-Hall.
24. Patton R.J. Fault detection and diagnosis in aerospace systems using analytical redundancy. Computing and Control Engineering Journal 1991, 127-136.
25. Patton, R. J., 1997. Fault-tolerant control systems: The 1997 situation. In IFAC symposium on fault detection supervision and safety for technical processes (Vol. 3, pp. 1033-1054).
26. Patton R.J., Chen J. Robust fault detection of jet engine sensor systems using eigenstructure assignment. Journal of Guidance, Control, And Dynamics 1992, 15:1491-1497.
27. Patton R.J., Chen J. Robust fault detection using eigenstructure assignment: A tutorial consideration and some new results. Control Engineering Practice 1997, 5:671-682.
28. Patton, R. J., Frank, P. M., & Clark, R. N. (2000) (Eds.), Issues of fault diagnosis for dynamic systems. Berlin: Springer-Verlag.
29. Preston, G. J., Shields, D. N., & Daley, S. (1996). Application of robust nonlinear fault detection observer to a hydraulic process. In Proceedings of UKACC international conference on control (pp. 1484-1489).
30. Quine B.M. A derivative-free implementation of the extended Kalman filter. Automatica 2006, 42:1927-1934.
31. Rajamani R., Hedrick J. Adaptive observers for active automotive suspensions: Theory and experiment. IEEE Transactions on Control Systems Technology 1995, 3:86-93.
32. Schei T.S. A finite-difference method for linearization in nonlinear estimation algorithms. Automatica 1997, 33:2051-2058.
33. Shih M.C., Sheu Y.R. The adaptive position control of an electro hydraulic servo cylinder. JSME International Journal 1991, 34:370-376.
34. Simon, D. (2006). Optimal state estimation: Kalman, H Infinity, and nonlinear approaches. Hoboken, NJ, USA: John Wiley and Sons, Inc.
35. Sohl G.A., Bobrow J.E. Experiments and simulations on the nonlinear control of a hydraulic servosystem. IEEE Transactions on Control Systems Technology 1999, 7:238-247.
36. Tafazoli S., de Silva C., Lawrence P. Tracking control of an electrohydraulic manipulator in the presence of friction. IEEE Transactions on Control Systems Technology 1998, 6:401-411.
37. van der Merwe, R. W. E., Julier, S., Bogdanov, A., Harvey, G., & Hunt, J. (2004). Sigma-point Kalman filters for nonlinear estimation and sensor fusion: Applications to integrated navigation. In AIAA guidance navigation and control conference.
38. Watton J. Condition monitoring and fault diagnosis in fluid power systems 1992, Wllis Horwood.
39. Yu D. Fault diagnosis for a hydraulic drive system using a parameter-estimation method. Control Engineering Practice 1997, 5:1283-1297.