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dc.contributor.authorLino, P.
dc.contributor.authorMaione, G.
dc.contributor.authorStasi, S.
dc.contributor.authorPadula, Fabrizio
dc.contributor.authorVisioli, A.
dc.date.accessioned2017-04-28T13:57:49Z
dc.date.available2017-04-28T13:57:49Z
dc.date.created2017-04-28T09:06:14Z
dc.date.issued2017
dc.identifier.citationLino, P. and Maione, G. and Stasi, S. and Padula, F. and Visioli, A. 2017. Synthesis of fractional-order PI controllers and fractional-order filters for industrial electrical drives. IEEE/CAA Journal of Automatica Sinica. 4 (1): pp. 58-69.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/52174
dc.identifier.doi10.1109/JAS.2017.7510325
dc.description.abstract

© 2014 Chinese Association of Automation.This paper introduces an electrical drives control architecture combining a fractional-order controller and a setpoint pre-filter. The former is based on a fractional-order proportional-integral PI unit, with a non-integer order integral action, while the latter can be of integer or non-integer type. To satisfy robustness and dynamic performance specifications, the feedback controller is designed by a loop-shaping technique in the frequency domain. In particular, optimality of the feedback system is pursued to achieve input-output tracking. The setpoint pre-filter is designed by a dynamic inversion technique minimizing the difference between the ideal synthesized command signal i.e., a smooth monotonic response and the prefilter step response. Experimental tests validate the methodology and compare the performance of the proposed architecture with well-established control schemes that employ the classical PIbased symmetrical optimum method with a smoothing pre-filter.

dc.titleSynthesis of fractional-order PI controllers and fractional-order filters for industrial electrical drives
dc.typeJournal Article
dcterms.source.volume4
dcterms.source.number1
dcterms.source.startPage58
dcterms.source.endPage69
dcterms.source.issn2329-9266
dcterms.source.titleIEEE/CAA Journal of Automatica Sinica
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusOpen access via publisher


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