Model-on-Demand Identification for Control: An Experimental Study and Feasibility Analysis for MOD-based Predictive Control
2000 (English)Report (Other academic)
An experimental study of "Model-on-Demand" (MoD) identification is made on a pilot-scale brine-water mixing tank. MoD estimation is compared against semi-physical modeling techniques using identification data generated from a systematically designed m-level Pseudo Random Sequence (PRS) input. The estimated models are the basis for evaluating the usefulness of MoD-based Model Predictive Control (MPC). For this application, MoD-MPC is shown to provide better performance at high bandwidths compared to a linear MPC controller.
Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2000. , 6 p.
LiTH-ISY-R, ISSN 1400-3902 ; 2232
Nonlinear model identification, Local modeling, Nonlinear model predictive control, Integrated identification and control
IdentifiersURN: urn:nbn:se:liu:diva-55668ISRN: LiTH-ISY-R-2232OAI: oai:DiVA.org:liu-55668DiVA: diva2:316402