A two-stage iterative learning control technique combined with real-time feedback for independent disturbance rejection

Authors:
Insik Chin;S.Joe Qin;Kwang S. Lee;Moonki Cho
Affiliations:
Department of Chemical Engineering, The University of Texas at Austin, Austin, TX 78712-1062, USA;Department of Chemical Engineering, The University of Texas at Austin, Austin, TX 78712-1062, USA;Department of Chemical Engineering, Sogang University, 1-Shinsoodong, Mapogu, Seoul 121-742, South Korea;Department of Chemical Engineering, Sogang University, 1-Shinsoodong, Mapogu, Seoul 121-742, South Korea
Venue:
Automatica (Journal of IFAC)
Year:
2004

Citing 2
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Abstract

A novel control framework for batch and repetitive processes is proposed. The currently practiced methods to combine real-time feedback control (RFC) with iterative learning control (ILC) share a problem that RFC causes ILC to digress from its convergence track along the run index when there occur real-time disturbances. The proposed framework provides a pertinent means to incorporate RFC into ILC so that the performance of ILC is virtually separated from the effects of real-time disturbances. As a prototypical algorithm, a two-stage algorithm has been devised by modifying and combining the existing QILC and BMPC techniques.