Tuning rules for robust FOPID controllers based on multi-objective optimization with FOPDT models

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...

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Main Authors: Sánchez, H., Padula, Fabrizio, Visioli, A., Vilanova, R.
Format: Journal Article
Published: Elsevier Inc 2017
Online Access:http://purl.org/au-research/grants/arc/DP160104994
http://hdl.handle.net/20.500.11937/52412
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author Sánchez, H.
Padula, Fabrizio
Visioli, A.
Vilanova, R.
author_facet Sánchez, H.
Padula, Fabrizio
Visioli, A.
Vilanova, R.
author_sort Sánchez, H.
building Curtin Institutional Repository
collection Online Access
description 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.
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institution Curtin University Malaysia
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publishDate 2017
publisher Elsevier Inc
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spelling curtin-20.500.11937-524122022-10-27T06:30:01Z Tuning rules for robust FOPID controllers based on multi-objective optimization with FOPDT models Sánchez, H. Padula, Fabrizio Visioli, A. Vilanova, R. 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. 2017 Journal Article http://hdl.handle.net/20.500.11937/52412 10.1016/j.isatra.2016.09.021 http://purl.org/au-research/grants/arc/DP160104994 Elsevier Inc fulltext
spellingShingle Sánchez, H.
Padula, Fabrizio
Visioli, A.
Vilanova, R.
Tuning rules for robust FOPID controllers based on multi-objective optimization with FOPDT models
title Tuning rules for robust FOPID controllers based on multi-objective optimization with FOPDT models
title_full Tuning rules for robust FOPID controllers based on multi-objective optimization with FOPDT models
title_fullStr Tuning rules for robust FOPID controllers based on multi-objective optimization with FOPDT models
title_full_unstemmed Tuning rules for robust FOPID controllers based on multi-objective optimization with FOPDT models
title_short Tuning rules for robust FOPID controllers based on multi-objective optimization with FOPDT models
title_sort tuning rules for robust fopid controllers based on multi-objective optimization with fopdt models
url http://purl.org/au-research/grants/arc/DP160104994
http://hdl.handle.net/20.500.11937/52412