Linear robust output−feedback control for permanent−magnet synchronous motors with unknown load
Identifieur interne : 003427 ( Main/Exploration ); précédent : 003426; suivant : 003428Linear robust output−feedback control for permanent−magnet synchronous motors with unknown load
Auteurs : Antonio Loria [France]Source :
- IEEE Transactions on Circuits and Systems Part 1 Fundamental Theory and Applications [ 1057-7122 ] ; 2009-09.
English descriptors
Abstract
We solve the problem of set-point (respectively, tracking) control of a permanent-magnet synchronous motor via linear time-invariant (respectively, time varying) control. Our control approach is based on the physical properties of the machine: inherent stability and robustness to external disturbances. Our analysis is carried out under mild conditions, using cascaded systems theory. For all cases: constant operating point, trajectory tracking, and with known and unknown load, we show uniform global asymptotic stability of the closed-loop system with a linear controller that uses only velocity measurements. Furthermore, we explore natural extensions of our results to improve robustness with respect to external disturbances and parametric uncertainties.
Url:
DOI: 10.1109/TCSI.2008.2011587
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">We solve the problem of set-point (respectively, tracking) control of a permanent-magnet synchronous motor via linear time-invariant (respectively, time varying) control. Our control approach is based on the physical properties of the machine: inherent stability and robustness to external disturbances. Our analysis is carried out under mild conditions, using cascaded systems theory. For all cases: constant operating point, trajectory tracking, and with known and unknown load, we show uniform global asymptotic stability of the closed-loop system with a linear controller that uses only velocity measurements. Furthermore, we explore natural extensions of our results to improve robustness with respect to external disturbances and parametric uncertainties.</div>
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