Iterative Feedback Tuning Algorithm for Tower Crane Systems

被引：77
作者：
Roman, Raul-Cristian [1 ]
Precup, Radu-Emil [1 ]
Hedrea, Elena-Lorena [1 ]
Preitl, Stefan [1 ]
Zamfirache, Iuliu Alexandru [1 ]
Bojan-Dragos, Claudia-Adina [1 ]
Petriu, Emil M. [2 ]
机构：
[1] Politehn Univ Timisoara, Dept Automat & Appl Informat, Bd V Parvan 2, Timisoara 300223, Romania
[2] Univ Ottawa, Sch Elect Engn & Comp Sci, Ottawa, ON, Canada
来源：
8TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT (ITQM 2020 & 2021): DEVELOPING GLOBAL DIGITAL ECONOMY AFTER COVID-19 | 2022年 / 199卷
关键词：
Iterative Feedback Tuning control algorithms; tower crane systems; FREE ADAPTIVE-CONTROL; MODEL; CONTROLLER;
D O I：
10.1016/j.procs.2022.01.020
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes validates an Iterative Feedback Tuning (IFT) algorithm, which is a classical and also popular data-driven algorithm, on tower crane systems. The IFT algorithm is applied to improve the performances of three proportional-integral (PI) controllers by solving an optimization problem. The IFT algorithm is validated using experiments to control the cart position, the arm angular position and the payload position. The experiments are conducted on a tower crane system in authors' laboratory, and the experimental setup is laboratory equipment that has strong nonlinearities. Ten iterations are performed to highlight the control system performance using IFT controllers. (C) 2021 The Authors. Published by Elsevier B.V.
引用
收藏
页码：157 / 165
页数：9
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