Model-on-Demand Identification for Control: An Experimental Study and Feasibility Analysis for MOD-Based Predictive Control
2000 (English)In: Proceedings of the 12th IFAC Symposium on System Identification, 2000, 439-444 p.Conference paper (Refereed)
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
2000. 439-444 p.
LiTH-ISY-R, ISSN 1400-3902 ; 2232
Nonlinear model identification, Local modeling, Nonlinear model predictive control, Integrated identification and control, Experimental application
IdentifiersURN: urn:nbn:se:liu:diva-91128ISBN: 978-0080435459OAI: oai:DiVA.org:liu-91128DiVA: diva2:618404
12th IFAC Symposium on System Identification, 21-23 June 2000, Santa Barbara, CA, USA