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

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)

	PDF - Accepted Version Restricted to Repository staff only Download (2MB) | Request a copy
Preview	PDF (Scopus ( In press)) - Supplemental Material Download (279kB) | Preview

Abstract

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

Item Type:	Article (Journal)
Additional Information:	8972/75671
Uncontrolled Keywords:	MPC; PFC; Coincidence horizon; Tuning
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User:	Muhammad Bin Abdullah
Date Deposited:	02 Dec 2019 12:29
Last Modified:	02 Dec 2019 12:29
URI:	http://irep.iium.edu.my/id/eprint/75671

Actions (login required)

View Item