A New Dynamic Residual Generator for Process Fault Detection

프로세스고장검출을 위한 새로운 잔차발생기구

  • 이기상 (단국대학교 전기전자컴퓨터공학부) ;
  • 이상문 (단국대학교 대학원 전기공학과)
  • Published : 2003.10.01

Abstract

A new FDOs (fault diagnostic observers) and the residual generation schemes using the FDOs are suggested for the process fault detection and isolation of linear (control) systems. The design method of the FDO is described, first, for the full measurement systems. Then it is extended for the systems with unmeasurable state variables. An unknown input observer is proposed and applied for the extension. The size of the observer bank may be the smallest, specially in full measurement systems, because the order of the proposed FDO is very low. In spite of the simplicity, the scheme provides the same information for the detection and isolation of the anticipated faults as the conventional multiple observer based schemes. The residuals may be structured so that fault isolation can be performed by pre-selected logic. An FDIS using the proposed scheme is constructed for the model of the four-tank system. Simulation results show the practical feasibility of the proposed scheme.

Keywords

References

  1. R. Isermann, 'Supervision, fault-detection and fault-diagnosis methods - An introduction', Control Eng. Practice, Vol. 5, No.5, pp. 639-652, 1997 https://doi.org/10.1016/S0967-0661(97)00046-4
  2. R. Isermann, 'Fault diagnosis of machines via parameter estimation and knowledge processing tutorial paper', Automatica, Vol. 29, No.4, pp, 815-835, 1993 https://doi.org/10.1016/0005-1098(93)90088-B
  3. R. N. Clark, 'State estimation schemes for instrument fault detection', in Fault Diagnosis in Dynamic Systems, edited by R. Patton, P. M. Frank and R. N. Clark, Prentice-Hall, 1989
  4. P. M. Frank, 'On-line fault detection .n uncertain nonlinear systems using diagnostic observers: A survey', Int. J of System Science, Vol. 25, No. 12, pp. 2129-2154, 1994 https://doi.org/10.1080/00207729408949341
  5. M. Hou and P. C. Muller, 'Fault detection and isolation observers', Int. J of Control, Vol. 50, No.5, pp, 827-846, 1994 https://doi.org/10.1080/00207179408921497
  6. P. M. Frank, 'Fault diagnosis in dynamic systems using analytical and knowledge based redundancy: A survey and some new results', Automatica, Vol. 26, No., pp. 459-474, 1990 https://doi.org/10.1016/0005-1098(90)90018-D
  7. J. Park and G. Rizzoni, 'An eigenstructure assignment algorithm for the design of fault detection filters', IEEE Trans. Automatic Control, Vol. 39, No.7, pp, 1521-1524, 1994 https://doi.org/10.1109/9.299649
  8. W. H. Chung and J. L. Speyer, 'A game theoretic fault detection filter', IEEE Trans. Automatic Control, Vol. 43, No.2, pp, 143-161, 1998 https://doi.org/10.1109/9.661064
  9. R. Patton, P. M. Frank and R. N. Clark, Fault diagnosis in dynamic systems, Theory and Applications, Prentice-Hall, 1989
  10. R. Seliger and P. M. Frank, 'Robust residual evaluation by threshold selection and a performance index for nonlinear observer based fault diagnosis', Proc. of Int. Conf. on Fault Diagnosis, Toulouse, April, 1993
  11. W. Ge and C. C. Fang, 'Detection of faulty components via robust observation', Int. J of Control, Vol. 47, No.2, pp. 581-599, 1988 https://doi.org/10.1080/00207178808906033
  12. D. Koenig, S. Nowakowski and A. Bourjij, 'New design of robust observers for fault detection and isolation', Proc. of the 35th Conference on Decision and Control, Kobe, Japan, pp. 1464-1467, Dec. 1996 https://doi.org/10.1109/CDC.1996.572721
  13. K. S. Lee and T. G. Park, 'A fault diagnostic observer design by hybrid disturbance decoupling approach', Trans. of KIEE, Vol. 46, No. 11, pp, 1647-1652, 1997