Fictitious Reference Iterative Tuning of Intelligent Proportional-Integral Controllers for Tower Crane Systems

被引：2
|
作者：
Roman, Raul-Cristian [1 ]
Precup, Radu-Emil [1 ,2 ]
Petriu, Emil M. [3 ]
Muntyan, Mihai [1 ]
Hedrea, Elena-Lorena [1 ]
机构：
[1] Politehn Univ Timisoara, AAI Dept, Timisoara, Romania
[2] Romanian Acad, Timisoara Branch, Ctr Fundam Appl Tech Res, Timisoara, Romania
[3] Univ Ottawa, EECS Sch, Ottawa, ON, Canada
来源：
2023 31ST MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION, MED | 2023年
基金：
加拿大自然科学与工程研究理事会;
关键词：
data-driven control; Fictitious Reference Iterative Tuning; model-free control; tower crane systems; MODEL-FREE CONTROL; OPTIMIZATION; ALGORITHM; DYNAMICS;
D O I：
10.1109/MED59994.2023.10185866
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The current paper introduces a hybrid data-driven control algorithm obtained by the mix of two data-driven algorithms, namely intelligent proportional-integral controllers as representative Model-Free Control (MFC) algorithms, whose parameters are optimally tuned via Fictitious Reference Iterative Tuning (FRIT) algorithms using metaheuristic Slime Mould Algorithm. The purpose of the current mix is to combine the advantages of MFC and FRIT. The efficiency of the novel data-driven algorithms is proved using real-time experiments by controlling the 3 degrees of freedom tower crane system equipment.
引用
收藏
页码：740 / 746
页数：7
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