On the selection of control configurations for uncertain systems using gramian-based Interaction Measures
Number of Authors: 2
2016 (English)In: Journal of Process Control, ISSN 0959-1524, E-ISSN 1873-2771, Vol. 47, 213-225 p.Article in journal (Refereed) Published
critical step in the control design of industrial processes is the Control Configuration Selection (CCS), where each actuator is associated with a set of measurements which will be used in the calculation of the control action.
A possible solution to the CCS problem is given by the gramian-based Interaction Measures (IMs), which are derived from nominal process models. This paper introduces the derivation of uncertainty bounds for a gramian-based IM using models with uncertainty described in multiplicative form. An alternative to this model-based approach is presented, where uncertainty bounds are estimated from a tailored experiment.
In addition, a procedure for robust CCS is introduced. This procedure integrates the calculated uncertainty bounds in the design of the control configuration.
Place, publisher, year, edition, pages
2016. Vol. 47, 213-225 p.
Research subject Control Engineering
IdentifiersURN: urn:nbn:se:ltu:diva-59564DOI: 10.1016/j.jprocont.2016.09.005ISI: 000388054500018ScopusID: 2-s2.0-84990048320OAI: oai:DiVA.org:ltu-59564DiVA: diva2:1033479
Validerad; 2016; Nivå 2; 2016-10-07 (andbra)2016-10-072016-10-072017-01-19Bibliographically approved