Journal
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume 4, Issue 4, Pages 271-279Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2008.2007802
Keywords
Bounded noise environment; gas turbine engine; high-gain observer; parameter identification
Categories
Funding
- FPSRC [EP/C015185/1]
- NSFC [60574026, 60828007]
- Engineering and Physical Sciences Research Council [EP/C015185/1] Funding Source: researchfish
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In this study, a novel identification technique, that is high-gain observer-based identification approach, is proposed for systems with bounded process and measurement noises. For system parameters with abnormal changes, an adaptive change detection and parameter identification algorithm is neat presented. The presented technique and algorithm are finally applied to the parameter identification of the gas turbine engine by using the recorded input data from the engine test-bed. The identified parameters and the response curves are desirable. The simulations have proved the effectiveness of the proposed procedure compared with the previous identification approach.
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