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Proportional-integral-plus control applications of state-dependent parameter models

Taylor, C. James and Shaban, E. and Stables, M. and Ako, S. (2007) Proportional-integral-plus control applications of state-dependent parameter models. Proceedings of the Institution of Mechanical Engineers - Part I: Journal of Systems & Control Engineering, 221 (I7). pp. 1019-1032. ISSN 0959-6518

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    Abstract

    This paper considers proportional-integral-plus (PIP) control of non-linear systems defined by state-dependent parameter models, with particular emphasis on three practical demonstrators: a microclimate test chamber, a 1/5th-scale laboratory representation of an intelligent excavator, and a full-scale (commercial) vibrolance system used for ground improvement on a construction site. In each case, the system is represented using a quasi-linear state-dependent parameter (SDP) model structure, in which the parameters are functionally dependent on other variables in the system. The approach yields novel SDP-PIP control algorithms with improved performance and robustness in comparison with conventional linear PIP control. In particular, the new approach better handles the large disturbances and other non-linearities typical in the application areas considered.

    Item Type: Article
    Journal or Publication Title: Proceedings of the Institution of Mechanical Engineers - Part I: Journal of Systems & Control Engineering
    Additional Information: Key research output for EPSRC GR/R94442/01, assessed as Tending to Internationally Leading for Research Quality. It is a step towards a long-term goal in nonlinear PIP control theory, with wide industrial relevance. The third application referred to in this paper represents a world first for operational use of automated vibro-lance ground compaction (contact: Bachy Solentache Ltd., Burscough, UK). RAE_import_type : Journal article RAE_uoa_type : General Engineering
    Uncontrolled Keywords: control system design ; non-minimal state space ; state-dependent parameters ; hydraulic actuators ; system identification
    Subjects: T Technology > TA Engineering (General). Civil engineering (General)
    Departments: Faculty of Science and Technology > Engineering
    Faculty of Science and Technology > Physics
    ID Code: 2694
    Deposited By: ep_importer
    Deposited On: 26 Mar 2008 16:46
    Refereed?: Yes
    Published?: Published
    Last Modified: 24 Jan 2014 05:17
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/2694

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