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ILC With Time-Varying Delay Estimation: A Case Study on Twin Roll Strip Casting

[+] Author Affiliations
Florian Browne, George Chiu, Neera Jain

Purdue University, West Lafayette, IN

Brad Rees

Nucor, Crawfordsville, IN

Paper No. DSCC2018-9028, pp. V002T23A002; 10 pages
  • ASME 2018 Dynamic Systems and Control Conference
  • Volume 2: Control and Optimization of Connected and Automated Ground Vehicles; Dynamic Systems and Control Education; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Energy Systems; Estimation and Identification; Intelligent Transportation and Vehicles; Manufacturing; Mechatronics; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Control of IC Engines and Powertrain Systems; Modeling and Management of Power Systems
  • Atlanta, Georgia, USA, September 30–October 3, 2018
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-5190-6
  • Copyright © 2018 by ASME


In this paper we propose an iterative learning control (ILC) algorithm for a class of periodic processes with a variable time-delay that is greater than one iteration in length. We estimate the delay by separating it into two components: an estimate based on the number of iterations contained within a single delay period and an estimate defined as the residual between the actual delay and the iteration-based estimate. This structure enables the derivation of a stability law for an ILC algorithm that is a function of the delay estimation error. The proposed ILC algorithm is then applied to twin roll strip casting and the results are validated using experimental process data. We also demonstrate the sensitivity of the ILC algorithm to estimation error through simulation results.

Copyright © 2018 by ASME



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