Model Based Diagnostics of Servo-Hydraulic System Using Quasi-Adaptive System Identification Approach

• Autorzy: Czop P.
• Języki publikacji: EN

Abstrakty

EN

The aim of this paper is to provide a feasibility study of model based diagnostics using a "black-box" model approach. A moderately complex first principle model of a servo-hydraulic system was proposed to understand the diagnostic symptoms. Performance of a steam turbine control system is one of key factors for proper management of power plant assets. To achieve quality goals more advanced approach to diagnostic needs to be implemented. This paper presents model-based approach to diagnostics of hydraulic actuator performance monitoring eignefrequency and damping ratio variability. The feasibility study presented in this paper confirmed correctness of the proposed approach using quasi-adaptive system identification technique involving an ARX model. The results can also be utilized for optimal adjustment of the controller settings considering the load and variable stiffness of the actuator dependent on the piston-rod position.

Słowa kluczowe

EN

system identification; rotating machinery; model linearization

PL

identyfikacja systemów; maszyna wirnikowa; linearyzacja

• Wydawca: Oficyna Wydawnicza Politechniki Warszawskiej
• Czasopismo: Machine Dynamics Problems
• Rocznik: 2007
• Tom: Vol. 31, No. 4
• Strony: 15--33
• Opis fizyczny: Bibliogr. 10 poz., wykr

Twórcy

autor

Czop P.

• AGH University of Science and Technology. Department of Robotics and Mechatronics,

Bibliografia

• Barszcz, T., Czop, P., 2004, System Identification and its limitation relating to diagnosis of rotating machinery faults, The 10th IEEE International Conference Methods and Models in Automation and Robotics, Międzyzdroje, Poland, 1029-1034.
• Barszcz, T., Czop, P., Uhl, T., 2002, System identification methods in steam turbine control systems diagnostics (original title in Polish: Metody identyfikacji systemów w diagnostyce układów regulacji turbin), Czasopismo Naukowo-Techniczne DIAGNOSTYKA, 28, 63-78.
• Basseville, M., Nikiforov, I.V., 1993, Detection of abrupt changes, Theory and application, Information and Systems Science Series, Prentice Hall, New York.
• Ljung, L., 1999, System Identification - Theory for the User, Prentice-Hall.
• Moscinski, J., Ogonowski, Z., 1995, Advanced control with MATLAB & SIMULINK. Ellis Horwood Ltd.
• Olszewski, M., 1992, (eds.): Industrial manipulators and robots (original title in Polish: Manipulatory i roboty przemysłowe), WNT.
• Patton, R.J., Frank, P.M., Clark, R.N., 2000, (eds.), Issues of fault diagnosis for dynamic systems, Springer-Verlag, London.
• Schothorst, G., 1997, Modeling of Long-Stroke Hydraulic Servo-System for Flight Simulator Motion Control and System Design, PhD Thesis, Technical University of Delft.
• Söderström, T., Stoica, P., 1988, System identification, Prentice-Hall International, Hemel Hempstead, U.K.
• Stryczek, S., 1997, Hydrostatic drives (original title in Polish: Napędy hydrostatyczne), Tom I i II, WNT.