An Input Shaping Control Scheme with Application on Overhead Cranes

Alghanim, Khalid; Mohammed, Abdullah Zubair; Andani, Mohsen Taheri

doi:10.1515/ijnsns-2018-0152

Cited by 26 publications

(11 citation statements)

References 31 publications

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“…The feedforward technology of vibration control [ 23 ] is widely used because it does not require any additional sensors or actuators and has strong adaptability to system changes. Input shaping technology [ 24 , 25 ] produces a better performance than other feedforward technologies (Butterworth, notch), and it is the most representative. Input shaping avoids inducing vibration during command movement by convoluting the pulse sequence with the desired command.…”

Section: Introductionmentioning

confidence: 99%

Vibration Control of a Helicopter Rescue Simulator on a Flexible Base

Wang

Xiong

et al. 2022

Computational Intelligence and Neuroscience

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The vibration compensation control of a hovering helicopter rescue simulator mounted on a crane beam is studied in this research. A Stewart platform is used as the motion generator of the helicopter simulation cabin and the vibration compensation device of the beam, simultaneously. This study describes how the dynamic model of the Stewart platform with consideration of the beam vibration is established. To determine the interference of the Stewart platform motion control in the special application of a large component flexible base requiring large-scale movement, a hybrid vibration controller composed of a feed-forward compensation module and a PD (proportional-derivative) feedback control module is designed. The experimental results show that this method can effectively compensate for the beam vibration and improve the accuracy of the motion reproduction of a helicopter simulation cabin.

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Section: Introductionmentioning

confidence: 99%

Vibration Control of a Helicopter Rescue Simulator on a Flexible Base

Wang

Xiong

et al. 2022

Computational Intelligence and Neuroscience

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“…Cranes have been a critical component of many industries. There have been dramatic improvements in crane payload capacity during their history [1], but one major problem is shared between today's cranes and the cranes of centuries ago: payload oscillation. To solve the problem, some efficient vibration suppression algorithms have been developed.…”

Section: Introductionmentioning

confidence: 99%

Automatic parameter selection ZVD shaping algorithm for crane vibration suppression based on particle swarm optimisation

Wang

Peng

et al. 2021

Applied Mathematics and Nonlinear Sciences

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This work introduces the foundation of a new class of input shaping algorithm, designed based on the particle swarm optimisation. This algorithm is utilised to control the residual vibrations in the crane system. The motivation is the development of simple algorithms and architecture for controlling the motion in under-actuated nonlinear systems with minimal modelling effort. By recording the payload swing signal of the crane only once, the approach can automatically calculate the optimisation amplitude and time locations of the impulses required by a common zero-vibration-derivative (ZVD) technique. In this work, we use this algorithm to design a ZVD shaper for controlling the motion of an under-actuated nonlinear crane model system. We validate the approach using experiments. If this algorithm is implanted into the embedded system and applied to the actual crane, which will solve the problem of the traditional ZVD parameter adjustment and improve the vibration suppression effect of the ZVD Algorithm.

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“…Overhead cranes are susceptible to external disturbances such as friction and wind during operation, and the system status shows non-linear and robust coupling. Many researchers have done a great deal of work to eliminate the crane's swing and positioning, and they have put forward many feasible control methods to eliminate the crane swing [1][2][3][4][5][6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Linear Active Disturbance Rejection Control for Double-Pendulum Overhead Cranes

et al. 2021

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Because of the complexity, non-linearity, and under-actuated features of double pendulum overhead cranes, a control method based on linear active disturbance rejection control (LADRC) and differential flatness theory is proposed to realize accurate trolley positioning and effective swing eliminating. Specifically, in order to simplify the system model, we introduce the differential flatness theory to construct system output. Based on this method, the uncertainty and system external disturbance become total disturbance. The control method of the crane is designed according to LADRC. Then, we use the bird swarm algorithm (BSA) to optimize controller's parameters. Finally, the double-pendulum crane control method based on the LADRC can better accomplish the crane's anti-swing and location in the real environment according to simulation and experimental results, which confirms its effectiveness and robustness in existing system.

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An Input Shaping Control Scheme with Application on Overhead Cranes

Cited by 26 publications

References 31 publications

Vibration Control of a Helicopter Rescue Simulator on a Flexible Base

Vibration Control of a Helicopter Rescue Simulator on a Flexible Base

Automatic parameter selection ZVD shaping algorithm for crane vibration suppression based on particle swarm optimisation

Linear Active Disturbance Rejection Control for Double-Pendulum Overhead Cranes

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