Model-Free Adaptive Sliding-Mode Control for Tower Cranes

Considering the dependence of the existing control methods on the tower crane model, a model-free adaptive sliding mode control algorithm is proposed for the positioning anti-swing problem of tower cranes. The proposed controller combines terminal sliding mode control and Full format dynamic linearization (FFDL) data model to against the problems posed by the model uncertainty. A tracking differentiator (TD) is also employed to further improve the dynamic performance of the system. The theoretical analysis proves the convergence of the control error and the effectiveness of the proposed algorithm is verified by simulation.

Authors

Institutions

Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icarcv63323.2024.10821621
Primary Topic
Vibration and Dynamic Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Model-Free Adaptive Sliding-Mode Control for Tower Cranes

Xuejuan Shao, Zhicheng Zhao, Jingang Zhang, Zhimei Chen et al.
Vibration and Dynamic Analysis
article

Model-Free Adaptive Sliding-Mode Control for Tower Cranes

Xuejuan Shao, Zhicheng Zhao, Jingang Zhang, Zhimei Chen, Laiqing Sun, Zhengwei Tao
article en

Abstract

Considering the dependence of the existing control methods on the tower crane model, a model-free adaptive sliding mode control algorithm is proposed for the positioning anti-swing problem of tower cranes. The proposed controller combines terminal sliding mode control and Full format dynamic linearization (FFDL) data model to against the problems posed by the model uncertainty. A tracking differentiator (TD) is also employed to further improve the dynamic performance of the system. The theoretical analysis proves the convergence of the control error and the effectiveness of the proposed algorithm is verified by simulation.

Taiyuan Heavy Industry (China) (CN), Taiyuan University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 70%
Vibration and Dynamic Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.