The doctoral dissertations of the former Helsinki University of Technology (TKK) and Aalto University Schools of Technology (CHEM, ELEC, ENG, SCI) published in electronic format are available in the electronic publications archive of Aalto University - Aaltodoc.
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Active Control of Radial Rotor Vibrations: Identification, Feedback, Feedforward, and Repetitive Control Methods
Kari Tammi
Dissertation for the degree of Doctor of Science in Technology to be presented with due permission of the Department of Automation and Systems Technology for public examination and debate in Auditorium AS1 at Helsinki University of Technology (Espoo, Finland) on the 4th of May, 2007, at 12 noon.
Dissertation in PDF format (ISBN 978-951-38-7008-9) [2155 KB]
VTT Publications 634, ISSN 1455-0849
Dissertation is also available in print (ISBN 978-951-38-7007-2)
Copyright © 2007 VTT Technical Research Centre of Finland
VTT Publications 634, ISSN 1235-0621
VTT-PUBS-634
TKK-DISS-2298
Abstract
Active vibration control methods for rotors were studied in order to develop solutions to enhance machines' dynamic behaviour, durability, and operating range. The aim of the thesis was to develop identification and control methods for active vibration control of a rotor. The identification method developed in the thesis improved run-time rotor identification by compensating rotation-related disturbances before the actual identification procedure. The control system design comprised an inner feedback loop and an outer loop for compensation for harmonic excitations due to mass unbalance and other rotation-related excitations. The feedback loop was shown to be essential in terms of providing favourable conditions for the other compensation algorithm in the outer loop. For the outer loop, three algorithms were tested: two feedforward control methods and a repetitive control method. The algorithms were validated and compared using an experimental set-up. Concerning the feedforward methods, the Convergent Control algorithm was found to be a more effective and simpler algorithm for the purpose than the adaptive FIR filter with the LMS algorithm. The adaptive gradient-based repetitive control, developed in this thesis, was found to have a poorer performance than the feedforward control methods, but to provide benefits for applications where excitation frequencies are not as predictable as in the current application.
Keywords: dynamic rotor systems, radial vibrations, rotors, control methods, active control, vibrations, identification, feedback control, feedforward control, repetitive control
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© 2007 Helsinki University of Technology
Last update 2011-05-26