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

    251756.pdf (3.464Mb)
    Access Status
    Open access
    Authors
    Sánchez, H.
    Padula, Fabrizio
    Visioli, A.
    Vilanova, R.
    Date
    2017
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Sánchez, 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.
    Source Title
    ISA Transactions
    DOI
    10.1016/j.isatra.2016.09.021
    ISSN
    0019-0578
    School
    Department of Mathematics and Statistics
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/DP160104994
    URI
    http://hdl.handle.net/20.500.11937/52412
    Collection
    • Curtin Research Publications
    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.

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