A Two-Stage Algorithm for Combined Iterative Learning Control with Real-Time Feedback; a State Space Formulation

Insik CHIN; Moonki CHO; S. Joe QIN; Kwang S. LEE

doi:10.3182/20050703-6-cz-1902.01613

A Two-Stage Algorithm for Combined Iterative Learning Control with Real-Time Feedback; a State Space Formulation

Insik CHIN, Moonki CHO, S. Joe QIN, Kwang S. LEE^*

^*Corresponding author for this work

Research output: Journal Publications › Journal Article (refereed) › peer-review

1 Citation (Scopus)

Abstract

A new combined iterative learning control (ILC) and real-time feedback control (RFC) algorithm has been proposed on the basis of the state space formulation and the two-stage implementation. The proposed method assumes Gaussian disturbances and deals with the batch-wise recurrent and nonrecurrent disturbances by independent LQG formulation for ILC and RFC, respectively. in this way, the problem with the existing combined ILC-RFC methods that the nonrecurrent real-time disturbance causees ILC to digress from its convergence track along the run index could be overcome. The performance of the proposed technique has been demonstrated using numerical simulation. Copyright © 2005 IFAC.

Original language	English
Pages (from-to)	225-230
Number of pages	6
Journal	IFAC Proceedings Volumes
Volume	38
Issue number	1
DOIs	https://doi.org/10.3182/20050703-6-cz-1902.01613
Publication status	Published - 2005
Externally published	Yes
Event	16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005 - , Czech Republic Duration: 3 Jul 2005 → 8 Jul 2005

Bibliographical note

ISBN: 9780080451084

Keywords

Batch process control
Disturbance rejection
Iterative learning control
LQG control
Run-to-run control

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10.3182/20050703-6-cz-1902.01613

Cite this

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title = "A Two-Stage Algorithm for Combined Iterative Learning Control with Real-Time Feedback; a State Space Formulation",

abstract = "A new combined iterative learning control (ILC) and real-time feedback control (RFC) algorithm has been proposed on the basis of the state space formulation and the two-stage implementation. The proposed method assumes Gaussian disturbances and deals with the batch-wise recurrent and nonrecurrent disturbances by independent LQG formulation for ILC and RFC, respectively. in this way, the problem with the existing combined ILC-RFC methods that the nonrecurrent real-time disturbance causees ILC to digress from its convergence track along the run index could be overcome. The performance of the proposed technique has been demonstrated using numerical simulation. Copyright {\textcopyright} 2005 IFAC.",

keywords = "Batch process control, Disturbance rejection, Iterative learning control, LQG control, Run-to-run control",

author = "Insik CHIN and Moonki CHO and QIN, {S. Joe} and LEE, {Kwang S.}",

note = "ISBN: 9780080451084; 16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005 ; Conference date: 03-07-2005 Through 08-07-2005",

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AU - CHIN, Insik

AU - CHO, Moonki

AU - QIN, S. Joe

AU - LEE, Kwang S.

N1 - ISBN: 9780080451084

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Y1 - 2005

N2 - A new combined iterative learning control (ILC) and real-time feedback control (RFC) algorithm has been proposed on the basis of the state space formulation and the two-stage implementation. The proposed method assumes Gaussian disturbances and deals with the batch-wise recurrent and nonrecurrent disturbances by independent LQG formulation for ILC and RFC, respectively. in this way, the problem with the existing combined ILC-RFC methods that the nonrecurrent real-time disturbance causees ILC to digress from its convergence track along the run index could be overcome. The performance of the proposed technique has been demonstrated using numerical simulation. Copyright © 2005 IFAC.

AB - A new combined iterative learning control (ILC) and real-time feedback control (RFC) algorithm has been proposed on the basis of the state space formulation and the two-stage implementation. The proposed method assumes Gaussian disturbances and deals with the batch-wise recurrent and nonrecurrent disturbances by independent LQG formulation for ILC and RFC, respectively. in this way, the problem with the existing combined ILC-RFC methods that the nonrecurrent real-time disturbance causees ILC to digress from its convergence track along the run index could be overcome. The performance of the proposed technique has been demonstrated using numerical simulation. Copyright © 2005 IFAC.

KW - Batch process control

KW - Disturbance rejection

KW - Iterative learning control

KW - LQG control

KW - Run-to-run control

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DO - 10.3182/20050703-6-cz-1902.01613

M3 - Journal Article (refereed)

SN - 1474-6670

VL - 38

SP - 225

EP - 230

JO - IFAC Proceedings Volumes

JF - IFAC Proceedings Volumes

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T2 - 16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005

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A Two-Stage Algorithm for Combined Iterative Learning Control with Real-Time Feedback; a State Space Formulation

Abstract

Bibliographical note

Keywords

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