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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/75671/1/2019_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
http://irep.iium.edu.my/75671/
https://www.tandfonline.com/doi/full/10.1080/00207179.2019.1589650
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spelling my.iium.irep.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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/75671/1/2019_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
http://irep.iium.edu.my/75671/
https://www.tandfonline.com/doi/full/10.1080/00207179.2019.1589650
_version_ 1651866002443468800
score 13.250246

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