A Method for Adaptive Control of the Overhead Crane Drive to Dampen Cargo Oscillation

In this paper, we address the issue of load oscillation damping during crane trolley movement. Fluctuations in the load can lead to equipment wear and damage, reducing the safety and efficiency of crane operations. To mitigate this, we propose an adaptive control system for the crane bridge drive, comprising a reference trajectory generator, an adaptor, an identifier, and a regulator. The reference trajectory generator defines the desired cargo path. The adaptor and identifier diagnose the oscillation parameters, while the regulator produces control signals to dampen these oscillations. Numerical experiments conducted in MATLAB Simulink using a "cart-pendulum" model demonstrate the efficacy of the proposed approach in reducing load oscillations, thereby enhancing the lifespan of the electric crane drive. These findings can aid in the development of control systems for overhead cranes, improving their reliability and safety, and reducing maintenance and repair costs.

Authors

Publication Details

Published
2024-10-01
DOI
https://doi.org/10.1109/icct62929.2024.10875025
Primary Topic
Control Systems in Engineering
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

A Method for Adaptive Control of the Overhead Crane Drive to Dampen Cargo Oscillation

Petrov Vladislav, Vorobyev Vladislav
Control Systems in Engineering
article

A Method for Adaptive Control of the Overhead Crane Drive to Dampen Cargo Oscillation

Petrov Vladislav, Vorobyev Vladislav
article en

Abstract

In this paper, we address the issue of load oscillation damping during crane trolley movement. Fluctuations in the load can lead to equipment wear and damage, reducing the safety and efficiency of crane operations. To mitigate this, we propose an adaptive control system for the crane bridge drive, comprising a reference trajectory generator, an adaptor, an identifier, and a regulator. The reference trajectory generator defines the desired cargo path. The adaptor and identifier diagnose the oscillation parameters, while the regulator produces control signals to dampen these oscillations. Numerical experiments conducted in MATLAB Simulink using a "cart-pendulum" model demonstrate the efficacy of the proposed approach in reducing load oscillations, thereby enhancing the lifespan of the electric crane drive. These findings can aid in the development of control systems for overhead cranes, improving their reliability and safety, and reducing maintenance and repair costs.

Ministry of Science and Higher Education of the Russian Federation
Affordable and clean energy
Openalex Percentile: Top 73%
Control Systems in Engineering
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