Using laguerre functions to improve the tuning and performance of predictive functional control

This paper proposes a novel modification to the predictive functional control (PFC) algorithm to facilitate significant improvements in the tuning efficacy. The core concept is the use of an alternative parameterisation of the degrees of freedom in the PFC law. Building on recent insights into the p...

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Main Authors:	Abdullah, Muhammad, Rossiter, John Anthony
Format:	Article
Language:	English English
Published:	Taylor and Francis Ltd. 2019
Subjects:	TJ212 Control engineering
Online Access:	http://irep.iium.edu.my/75671/ http://irep.iium.edu.my/75671/ http://irep.iium.edu.my/75671/ http://irep.iium.edu.my/75671/1/2019_Using%20Laguerre%20functions%20to%20improve%20the%20tuning%20and%20performance%20of%20predictive%20functional%20control.pdf http://irep.iium.edu.my/75671/7/75671_Using%20Laguerre%20functions%20to%20improve%20the%20tuning_scopus.pdf

id	iium-75671
recordtype	eprints
spelling	iium-756712019-12-02T04:29:32Z http://irep.iium.edu.my/75671/ Using laguerre functions to improve the tuning and performance of predictive functional control Abdullah, Muhammad Rossiter, John Anthony TJ212 Control engineering This paper proposes a novel modification to the predictive functional control (PFC) algorithm to facilitate significant improvements in the tuning efficacy. The core concept is the use of an alternative parameterisation of the degrees of freedom in the PFC law. Building on recent insights into the potential of Laguerre functions in traditional MPC (Rossiter, Wang, & Valencia-Palomo, 2010; Wang, 2009), this paper develops an appropriate framework for PFC and then demonstrates that these functions can be exploited to allow easier and more effective tuning in PFC as well as facilitating strong constraint handling properties. The proposed design approach and the associated tuning methodology are developed and their efficacy is demonstrated with a number of numerical examples Taylor and Francis Ltd. 2019 Article PeerReviewed application/pdf en http://irep.iium.edu.my/75671/1/2019_Using%20Laguerre%20functions%20to%20improve%20the%20tuning%20and%20performance%20of%20predictive%20functional%20control.pdf application/pdf en http://irep.iium.edu.my/75671/7/75671_Using%20Laguerre%20functions%20to%20improve%20the%20tuning_scopus.pdf Abdullah, Muhammad and Rossiter, John Anthony (2019) Using laguerre functions to improve the tuning and performance of predictive functional control. International Journal of Control. ISSN 0020-7179 (In Press) https://www.tandfonline.com/doi/full/10.1080/00207179.2019.1589650 10.1080/00207179.2019.1589650
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TJ212 Control engineering
spellingShingle	TJ212 Control engineering Abdullah, Muhammad Rossiter, John Anthony Using laguerre functions to improve the tuning and performance of predictive functional control
description	This paper proposes a novel modification to the predictive functional control (PFC) algorithm to facilitate significant improvements in the tuning efficacy. The core concept is the use of an alternative parameterisation of the degrees of freedom in the PFC law. Building on recent insights into the potential of Laguerre functions in traditional MPC (Rossiter, Wang, & Valencia-Palomo, 2010; Wang, 2009), this paper develops an appropriate framework for PFC and then demonstrates that these functions can be exploited to allow easier and more effective tuning in PFC as well as facilitating strong constraint handling properties. The proposed design approach and the associated tuning methodology are developed and their efficacy is demonstrated with a number of numerical examples
format	Article
author	Abdullah, Muhammad Rossiter, John Anthony
author_facet	Abdullah, Muhammad Rossiter, John Anthony
author_sort	Abdullah, Muhammad
title	Using laguerre functions to improve the tuning and performance of predictive functional control
title_short	Using laguerre functions to improve the tuning and performance of predictive functional control
title_full	Using laguerre functions to improve the tuning and performance of predictive functional control
title_fullStr	Using laguerre functions to improve the tuning and performance of predictive functional control
title_full_unstemmed	Using laguerre functions to improve the tuning and performance of predictive functional control
title_sort	using laguerre functions to improve the tuning and performance of predictive functional control
publisher	Taylor and Francis Ltd.
publishDate	2019
url	http://irep.iium.edu.my/75671/ http://irep.iium.edu.my/75671/ http://irep.iium.edu.my/75671/ http://irep.iium.edu.my/75671/1/2019_Using%20Laguerre%20functions%20to%20improve%20the%20tuning%20and%20performance%20of%20predictive%20functional%20control.pdf http://irep.iium.edu.my/75671/7/75671_Using%20Laguerre%20functions%20to%20improve%20the%20tuning_scopus.pdf
first_indexed	2023-09-18T21:47:03Z
last_indexed	2023-09-18T21:47:03Z
_version_	1777413520013393920

Using laguerre functions to improve the tuning and performance of predictive functional control

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