Liu, T, Wang, XZ and Chen, J (2014) Robust PID based indirect-type iterative learning control for batch processes with time-varying uncertainties. Journal of Process Control, 24 (12). pp. 95-106. ISSN 1873-2771
Abstract
ased on the proportional-integral-derivative (PID) control structure widely used in engineering applications, a robust indirect-type iterative learning control (ILC) method is proposed for industrial batch processes subject to time-varying uncertainties. An important merit is that the proposed ILC design is independent of the PID tuning that aims primarily to hold robust stability of the closed-loop system, owing to the fact that the ILC updating law is implemented through adjusting the setpoint of the closed-loop PID control structure plus a feedforward control to the plant input from batch to batch. According to the robust H infinity control objective, a robust discrete-time PID tuning algorithm is given in terms of the plant state-space model description to accommodate for time-varying process uncertainties. For the batchwise direction, a robust ILC updating law is developed based on the two-dimensional (2D) control system theory. Only measured output errors of current and previous cycles are used to implement the proposed ILC scheme for the convenience of practical application. An illustrative example from the literature is adopted to demonstrate the effectiveness and merits of the proposed ILC method.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2014, Elsevier. This is an author produced version of a paper published in Journal of Process Control. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Batch process;; Iterative learning control (ILC),; Proportional-integral-derivative (PID) controller; Time-varying uncertainty; Robust H infinity control objective |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst of Geophysics and Tectonics (IGT) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Mar 2017 12:12 |
Last Modified: | 17 Jan 2018 15:50 |
Published Version: | https://doi.org/10.1016/j.jprocont.2014.07.002 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.jprocont.2014.07.002 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:109321 |