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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Proportional-integral-plus control applications of state-dependent parameter models
AU - Taylor, C. James
AU - Shaban, E.
AU - Stables, M.
AU - Ako, S.
N1 - 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
PY - 2007/11/23
Y1 - 2007/11/23
N2 - 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.
AB - 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.
KW - control system design
KW - non-minimal state space
KW - state-dependent parameters
KW - hydraulic actuators
KW - system identification
U2 - 10.1243/09596518JSCE366
DO - 10.1243/09596518JSCE366
M3 - Journal article
VL - 221
SP - 1019
EP - 1032
JO - Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
JF - Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
SN - 0959-6518
IS - I7
ER -