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dc.contributor.authorSánchez, H.
dc.contributor.authorPadula, Fabrizio
dc.contributor.authorVisioli, A.
dc.contributor.authorVilanova, R.
dc.date.accessioned2017-04-28T13:58:39Z
dc.date.available2017-04-28T13:58:39Z
dc.date.created2017-04-28T09:06:14Z
dc.date.issued2017
dc.identifier.citationSánchez, H. and Padula, F. and Visioli, A. and Vilanova, R. 2017. Tuning rules for robust FOPID controllers based on multi-objective optimization with FOPDT models. ISA Transactions. 66: pp. 344-361.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/52412
dc.identifier.doi10.1016/j.isatra.2016.09.021
dc.description.abstract

In this paper a set of optimally balanced tuning rules for fractional-order proportional-integral-derivative controllers is proposed. The control problem of minimizing at once the integrated absolute error for both the set-point and the load disturbance responses is addressed. The control problem is stated as a multi-objective optimization problem where a first-order-plus-dead-time process model subject to a robustness, maximum sensitivity based, constraint has been considered. A set of Pareto optimal solutions is obtained for different normalized dead times and then the optimal balance between the competing objectives is obtained by choosing the Nash solution among the Pareto-optimal ones. A curve fitting procedure has then been applied in order to generate suitable tuning rules. Several simulation results show the effectiveness of the proposed approach.

dc.publisherElsevier Inc
dc.titleTuning rules for robust FOPID controllers based on multi-objective optimization with FOPDT models
dc.typeJournal Article
dcterms.source.volume66
dcterms.source.startPage344
dcterms.source.endPage361
dcterms.source.issn0019-0578
dcterms.source.titleISA Transactions
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusOpen access


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