# Adaptive Sliding Mode with Finite-Time Convergence for Synchronized Hydraulic Multi-Arm Systems

**Authors:** Bo Gao, Fuqiang Yang, Guangwei Ji, Guanghai Yang, Yuliang Lin, Liangsong Huang

PMC · DOI: 10.3390/s26051567 · Sensors (Basel, Switzerland) · 2026-03-02

## TL;DR

This paper presents a new control strategy for synchronizing multiple hydraulic robot arms in tight spaces, like coal bunker cleaning, with faster and more reliable performance.

## Contribution

The novel finite-time adaptive sliding mode control strategy enables synchronized multi-arm coordination with guaranteed convergence and robustness.

## Key findings

- The proposed controller achieves rapid finite-time convergence and robustness against disturbances.
- Simulations show higher tracking accuracy and disturbance rejection compared to existing methods.
- The approach is scalable and suitable for unstructured industrial environments.

## Abstract

This study introduces a novel robust finite-time adaptive sliding mode control (FTSMC) strategy, emphasizing its contributions to the synchronized deployment of hydraulically actuated multi-arm systems in confined environments, such as coal bunker cleaning. Key innovations include the integration of adaptive sliding mode control with guaranteed finite-time convergence, a distributed leader–follower framework, and a graph-theoretical communication topology for localized interactions. Specifically, we developed a dynamic model for a multi-agent system comprising one leader and multiple followers, incorporating nonlinear dynamics and unknown external disturbances. The proposed controller ensures rapid finite-time convergence of tracking errors while maintaining robustness against parameter uncertainties, frictional forces, and external perturbations. The theoretical analysis, based on Lyapunov stability, rigorously proves the boundedness and convergence of all system states. Simulation results on a three-arm robotic platform validate the method’s superiority, demonstrating higher tracking accuracy, faster convergence, and stronger disturbance rejection compared with baseline controllers, including SMC, ETASMC, PID, Fixed-Time Consensus Control (FTCC), Disturbance Observer-Based Control (DOBC), and Adaptive Sliding Mode Control (ASMC). This research provides a practical and scalable solution for multi-arm coordination in unstructured environments, significantly advancing the autonomy and reliability of industrial robotic systems.

## Full text

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## Figures

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## References

41 references — full list in the complete paper: https://tomesphere.com/paper/PMC12987028/full.md

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Source: https://tomesphere.com/paper/PMC12987028