Combined fractional feedback-feedforward controller design for electrical drives
dc.contributor.author | Leuzzi, R. | |
dc.contributor.author | Lino, P. | |
dc.contributor.author | Maione, G. | |
dc.contributor.author | Stasi, S. | |
dc.contributor.author | Padula, Fabrizio | |
dc.contributor.author | Visioli, A. | |
dc.date.accessioned | 2017-04-28T13:57:26Z | |
dc.date.available | 2017-04-28T13:57:26Z | |
dc.date.created | 2017-04-28T09:06:15Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Leuzzi, R. and Lino, P. and Maione, G. and Stasi, S. and Padula, F. and Visioli, A. 2014. Combined fractional feedback-feedforward controller design for electrical drives. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/52074 | |
dc.identifier.doi | 10.1109/ICFDA.2014.6967380 | |
dc.description.abstract |
© 2014 IEEE.This paper focuses on a design method for feedback and feedforward fractional order control of electromechanical systems. The architecture combines a fractional order proportional-integral controller and a set-point filter. First, the open-loop frequency response is shaped to obtain robustness specifications and to approximate an optimal feedback system in the input-output tracking, at least in a specified bandwidth. Secondly, the set-point filter is designed by dynamic inversion to minimize the difference between the ideal synthesized command signal, that provides a smooth monotonic response, and the filter step response. Tests on the position/speed control of DC and permanent magnet synchronous motors show the effectiveness of the methodology in comparison with PI controller tuned by symmetrical optimum and coupled with a smoothing filter. | |
dc.title | Combined fractional feedback-feedforward controller design for electrical drives | |
dc.type | Conference Paper | |
dcterms.source.title | 2014 International Conference on Fractional Differentiation and Its Applications, ICFDA 2014 | |
dcterms.source.series | 2014 International Conference on Fractional Differentiation and Its Applications, ICFDA 2014 | |
dcterms.source.isbn | 9781479925919 | |
curtin.department | Department of Mathematics and Statistics | |
curtin.accessStatus | Fulltext not available |
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