Abstract
ILC for enhancing tracking in batch processes, which can be approximated by a first-order plus dead-time (FOPDT) model, is presented. Enhancement is achieved through filter-based iterative learning control. The design of the ILC parameters is conducted in the frequency domain, which guarantees the convergence property in the iteration domain. The filter-based ILC can be easily added on to existing control systems. To clearly demonstrate the features of the proposed ILC, a water-heating process under a PI controller is used as a testbed. The empirical results show improved tracking performance with iterative learning.
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© 2009 Springer London
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(2009). ILC for Process Temperature Control: Application to a Water-heating Plant. In: Real-time Iterative Learning Control. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-84882-175-0_5
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DOI: https://doi.org/10.1007/978-1-84882-175-0_5
Publisher Name: Springer, London
Print ISBN: 978-1-84882-174-3
Online ISBN: 978-1-84882-175-0
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