Optimal generalized predictive functional control with applications to extended PID control for quadruple tank
Alotaibi, Sultan and Grimble, Michael; (2019) Optimal generalized predictive functional control with applications to extended PID control for quadruple tank. In: 25th International Conference on Automation and Computing (ICAC). IEEE, GBR. ISBN 9781728125183 (https://doi.org/10.23919/IConAC.2019.8895103)
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Abstract
Algorithm of optimal Generalized Predictive Functional Control is presented towards the control problem of linear discrete-time state-space multivariable systems. A quadruple tank system is simulated to demonstrate typical results. The proposed controller has been structured in a reduced order arrangement including a set of specified linear transfer-functions along with gains that are found to minimize a GPC cost-index. This approach enables a range of classical controller structures to be used in the feedback loop such as extended PI, PID or Lead-lag or a more general transfer function form. A MATLAB simulation was used to test the performance of the restricted structure controller for regulation and tracking problems and was compared against a classical PI Controller.
ORCID iDs
Alotaibi, Sultan ORCID: https://orcid.org/0000-0003-1996-7978 and Grimble, Michael;-
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Item type: Book Section ID code: 70782 Dates: DateEvent11 November 2019Published31 May 2019AcceptedNotes: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works Subjects: Science > Mathematics > Electronic computers. Computer science
Technology > Electrical engineering. Electronics Nuclear engineeringDepartment: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 11 Dec 2019 11:06 Last modified: 11 Nov 2024 15:20 URI: https://strathprints.strath.ac.uk/id/eprint/70782