Level Control of Quadruple Tank Process using Laguerre Functions based Model Predictive Control Algorithm

Autor:	Issam Chekakta, Kamel Menighed
Přispěvatelé:	Dept. of Petrochemicals and process engineering,University of 20 août 1955,Skikda, Algeria, DAC HR laboratory, Ferhat Abbas University, Setif 1
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	Model predictive control Computer science [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering Control (management) Laguerre polynomials Quadruple tank process General Medicine Algorithm
Zdroj:	ALGERIAN JOURNAL OF SIGNALS AND SYSTEMS (AJSS) ALGERIAN JOURNAL OF SIGNALS AND SYSTEMS (AJSS), 2020, 5 (2), pp.130-137. ⟨10.51485/ajss.v5i2.107⟩
DOI:	10.51485/ajss.v5i2.107⟩
Popis:	International audience; This paper aims to present a model predictive controller based on discrete state-space modeling, where the future control trajectory is approximated by a set of discrete-time Laguerre functions instead of shift forward operators. The benefit of using these orthonormal Laguerre functions is that they have fewer parameters to adjust in the optimization problem and the computation load is significantly lower than the standard predictive control. The effectiveness of this controller is illustrated through the quadruple tank process, which is a highly interacted, multivariable and constrained system.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69a5cdddee0872fe40a1e02f3b85375a https://hal.archives-ouvertes.fr/hal-03498121 Zobrazit plný text záznamu