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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Taylor and Francis Ltd.
2019
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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 |
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| language |
English English |
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TJ212 Control engineering |
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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 |