Robust Aggregated Hierarchical Sliding Mode Controller Based on the High-Gain Observer of Double-Pendulum Overhead Crane

This study presents a control system for an overhead crane using an aggregated hierarchical sliding mode control (AHSMC) approach with a high-gain observer. The control law is designed to minimize oscillations and increase the stability of the crane system. The observer is used to estimate the state of the system, including the cable angle and payload (spreader and container) angle, using only the available sensor measurements. The proposed approach was tested through simulations, demonstrating its effectiveness and robustness in the presence of changing reference signals. The results show that the proposed control system provides accurate and stable control of the overhead crane system with improved static and dynamic performance.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-06-30
DOI
https://doi.org/10.1051/epjconf/202533002007/pdf
Primary Topic
Dynamics and Control of Mechanical Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robust Aggregated Hierarchical Sliding Mode Controller Based on the High-Gain Observer of Double-Pendulum Overhead Crane

Abdellah Ailane, Salaheddine Khamlich, Issam Bidane
Springer Link (Chiba Institute of Technology)
Dynamics and Control of Mechanical Systems
article

Robust Aggregated Hierarchical Sliding Mode Controller Based on the High-Gain Observer of Double-Pendulum Overhead Crane

Abdellah Ailane, Salaheddine Khamlich, Issam Bidane
article en

Abstract

This study presents a control system for an overhead crane using an aggregated hierarchical sliding mode control (AHSMC) approach with a high-gain observer. The control law is designed to minimize oscillations and increase the stability of the crane system. The observer is used to estimate the state of the system, including the cable angle and payload (spreader and container) angle, using only the available sensor measurements. The proposed approach was tested through simulations, demonstrating its effectiveness and robustness in the presence of changing reference signals. The results show that the proposed control system provides accurate and stable control of the overhead crane system with improved static and dynamic performance.

Springer Link (Chiba Institute of Technology)
Peace, Justice and strong institutions
Openalex Percentile: Top 31%
Dynamics and Control of Mechanical Systems
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.