Formation Control with Collision Avoidance: Adaptive Sliding Mode Approach

This paper introduces a formation control framework for a double integrator multi-agent system (MAS) utilizing adaptive sliding mode control (SMC) integrated with a collision avoidance strategy. To prevent inter-agent collisions, the artificial potential function is employed, leveraging inter-agent positions and predefined safe and avoidance zones. A new sliding surface is defined to enhance tracking performance while incorporating collision avoidance functionalities. Additionally, a proportional reaching law-based control scheme is devised to expedite the convergence of sliding trajectories. The asymptotic stability of the tracking error system is demonstrated through Lyapunov analysis. A numerical calculation has been performed to evaluate the performance of SMC and adaptive SMC based on different indices. MATLAB simulation results are presented to illustrate the effectiveness of the proposed controller design.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/vss61690.2024.10753418
Primary Topic
Control and Dynamics of Mobile Robots
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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article

Formation Control with Collision Avoidance: Adaptive Sliding Mode Approach

Asifa Yesmin, Kiran Kumari, Arpita Sinha
Control and Dynamics of Mobile Robots
article

Formation Control with Collision Avoidance: Adaptive Sliding Mode Approach

Asifa Yesmin, Kiran Kumari, Arpita Sinha
article en

Abstract

This paper introduces a formation control framework for a double integrator multi-agent system (MAS) utilizing adaptive sliding mode control (SMC) integrated with a collision avoidance strategy. To prevent inter-agent collisions, the artificial potential function is employed, leveraging inter-agent positions and predefined safe and avoidance zones. A new sliding surface is defined to enhance tracking performance while incorporating collision avoidance functionalities. Additionally, a proportional reaching law-based control scheme is devised to expedite the convergence of sliding trajectories. The asymptotic stability of the tracking error system is demonstrated through Lyapunov analysis. A numerical calculation has been performed to evaluate the performance of SMC and adaptive SMC based on different indices. MATLAB simulation results are presented to illustrate the effectiveness of the proposed controller design.

Indian Institute of Technology Bombay (IN)
Science and Engineering Research Board
Climate action
Openalex Percentile: Top 75%
Control and Dynamics of Mobile Robots
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