塔式起重机系统离散时间无模型控制的虚拟参考迭代整定

IF 1.2 4区计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS

Studies in Informatics and Control Pub Date : 2023-03-07 DOI:10.24846/v32i1y202301

Raul-Cristian Roman, R. Precup, E. Petriu, Mihai Muntyan

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引用次数: 6

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Fictitious Reference Iterative Tuning of Discrete-Time Model-Free Control for Tower Crane Systems

: The purpose of this paper is to propose a novel controller that is based on a combination of two data-driven algorithms, namely the Fictitious Reference Iterative Tuning (FRIT) algorithm and the Model-Free Adaptive Control (MFC) algorithm while considering a particular form of MFC, that is the intelligent proportional-integral-derivative (iPID) controller. The main advantage of this combination is that the FRIT algorithm optimally tunes the parameters of the iPID controller by solving an optimization problem based on a metaheuristic African Vultures Optimization Algorithm (AVOA). The novel controller, referred to as the FRIT-iPID controller, is validated experimentally on a three-degree-of-freedom tower crane system laboratory equipment in the context of controlling the cart position, the arm angular position and the payload position for this system.

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来源期刊

Studies in Informatics and Control AUTOMATION & CONTROL SYSTEMS-OPERATIONS RESEARCH & MANAGEMENT SCIENCE

CiteScore

2.70

自引率

25.00%

发文量

审稿时长

>12 weeks

期刊介绍： Studies in Informatics and Control journal provides important perspectives on topics relevant to Information Technology, with an emphasis on useful applications in the most important areas of IT. This journal is aimed at advanced practitioners and researchers in the field of IT and welcomes original contributions from scholars and professionals worldwide. SIC is published both in print and online by the National Institute for R&D in Informatics, ICI Bucharest. Abstracts, full text and graphics of all articles in the online version of SIC are identical to the print version of the Journal.