Crane automation and mechanical damping methods

Beller, Serkan; Yavuz, Hakan

doi:10.1016/j.aej.2021.01.048

Cited by 4 publications

(3 citation statements)

References 36 publications

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“…The existing control modes of the control systems of bridge crane can be divided into two types: open-loop control and closed-loop control. The representative methods of open loop control include input shaping 1,2 and offline trajectory planning, [3][4][5] which can precisely plan the movement of the trolley to accurately locate and suppress the swing of the payload. Although this type of method can achieve better control results in an indoor environment without interference, the control accuracy depends on the natural frequency of the system.…”

Section: Introductionmentioning

confidence: 99%

A novel model-free adaptive terminal sliding mode controller for bridge cranes

Wang

Tan

Qiu

et al. 2023

Measurement and Control

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To achieve stabilisation control of an underactuated bridge crane system, a new robust control strategy for the sliding mode is proposed in this paper. It can realise finite-time-convergent stabilisation control under the conditions of model uncertainty, parameter perturbation and external interference. In contrast to the existing methods, our method does not need prior information of the dynamic characteristics of the bridge crane system, and can make the system converge to the equilibrium state at the preset time. Specifically, the nonlinear model of the bridge crane system is linearised with partial feedback, and adaptive signals are introduced. Then, according to the form of the transformed system, a fast terminal sliding mode surface is constructed, and an adaptive terminal sliding mode controller is designed. According to strict analysis, the proposed control law ensures that the system converges to the equilibrium point in finite time and provides the convergence time. Finally, the effectiveness and robustness of the proposed control method are verified by comparing the simulation and experimental results with existing methods.

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Section: Introductionmentioning

confidence: 99%

A novel model-free adaptive terminal sliding mode controller for bridge cranes

Wang

Tan

Qiu

et al. 2023

Measurement and Control

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“…Para asegurar el movimiento sin oscilaciones y la precisión de posicionamiento al trasladar cargas se han planteado sistemas que utilizan múltiples cables actuados para que, combinando la tensión entre ellos pueda disminuirse la oscilación del gancho [5]. Otras soluciones incluyen sistemas de control predictivo [6] y algoritmos de inteligencia artificial que contienen redes neuronales, lógica difusa y algoritmos genéticos [7].…”

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“…Pero la implementación de estos algoritmos necesita de entradas reales tales como el ángulo de oscilación del cable, el cual se puede obtener mediante visión artificial [8] [9]. Adicionalmente, se pueden considerar otros factores tales como la velocidad del viento [5] o el carácter flexible de los cables que sostienen la carga [10].…”

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Bridge Crane Monitoring using a 3D LiDAR and Deep Learning

García

Martínez

Reina

2023

IEEE Latin Am. Trans.

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The use of overhead cranes in warehouses and factories has advantages for handling and transporting bulky and/or heavy loads. But it also involves risks such as collisions with other fixed or mobile elements in the working environment. Different types of sensors have been used for monitoring its operation, mainly artificial vision. In this paper, it is employed a three-dimensional (3D) LiDAR to capture the workspace of a bridge crane. The point clouds generated by this laser sensor are delivered to a convolutional neural network to detect the position of the bridge and its carriage, which allows to locate the hook and the suspended load afterwards. Additionally, the laser scans can also be used to warn the operator of possible collisions with fixed elements of the warehouse. The tests carried out show that the proposed system can be successfully used for monitoring overhead cranes.

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Mathematical model and experimental study of a magnet coupling with a stop

et al. 2022

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The paper presents an improved analytical model for axial-flux eddy-current couplings with permanent magnets. The design procedure is based on the torque formula derived from a two-dimensional approximation of the magnetic field distribution. The developed model takes into account the heating of the copper disk and magnets due to the high slip speed. Another advantage of the developed model is the reduction in computation time compared to 3-D finite element simulations. The model is validated experimentally. A correlation between the model and the experiment is obtained. The coupling torque is subject to reduction due to low manufacturing accuracy. The model is effective for engineering use at the design stage of magnet couplings, especially for cable drums of cranes.

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Crane automation and mechanical damping methods

Cited by 4 publications

References 36 publications

A novel model-free adaptive terminal sliding mode controller for bridge cranes

A novel model-free adaptive terminal sliding mode controller for bridge cranes

Bridge Crane Monitoring using a 3D LiDAR and Deep Learning

Mathematical model and experimental study of a magnet coupling with a stop

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