μ-Analysis applied to self-sensing active magnetic bearings
Abstract
The stability margin of a two degree-of-freedom self-sensing active magnetic bearing (AMB)
is estimated by means of
μ
-analysis. The specific self-sensing algorithm implemented in this study
is the direct current measurement method. Detailed black-box models are developed for the main
subsystems in the AMB by means of discrete-time system identification. In order to obtain models
for dynamic uncertainty in the various subsystems in the AMB, the identified models are combined
to form a closed-loop model for the self-sensing AMB. The response of this closed-loop model is
then compared to the original AMB’s response and models for the dynamic uncertainty are empirically
deduced. Finally, the system’s stability margin for the modelled uncertainty is estimated by means of
μ
-analysis. The results show that
μ
-analysis is ill-equipped to estimate the stability margin of a nonlinear
system
URI
http://hdl.handle.net/10394/20472http://eolstoragewe.blob.core.windows.net/wm-418498-cmsimages/Publications/ARJ_documents/2011no4/102_4_2.pdf
http://www.saiee.org.za/DisplayCustomLink.aspx?name=2011:%20Vol%20102%20No%204
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- Faculty of Engineering [1129]