Abdullah, M. and Rossiter, J.A. orcid.org/0000-0002-1336-0633 (2018) Alternative method for predictive functional control to handle an integrating process. In: Proceedings of 2018 UKACC 12th International Conference on Control (CONTROL). Control 2018: The 12th International UKACC Conference on Control, 05-07 Sep 2018, Sheffield, UK. IEEE , pp. 26-31. ISBN 978-1-5386-2864-5
Abstract
This work proposes an improved method for Predictive Functional Control (PFC) to handle an integrating process. Instead of assuming a constant future input, the dynamic is shaped with a first-order Laguerre polynomial so that it converges to the expected steady state value. This modification provides simpler coding and tuning compared to the conventional method in the literature. Simulation results show that the proposed controller improves the consistency of the open-loop prediction of an integrating process and thus improves closed-loop performance and constraint handling properties. The practicality of this algorithm is also validated on laboratory hardware.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © IEEE 2018. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Predictive Control; PFC; Laguerre Function; Constraints; Integrating Process; Transparent Control; Servo System |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 06 Jul 2018 14:58 |
Last Modified: | 05 Dec 2018 15:15 |
Published Version: | https://doi.org/10.1109/CONTROL.2018.8516787 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/CONTROL.2018.8516787 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:133014 |