A family of anti-swing motion controllers for 2D-cranes with load hoisting/lowering

Miranda-Colorado, Roger; Aguilar, Luis T.

doi:10.1016/j.ymssp.2019.106253

Cited by 27 publications

(12 citation statements)

References 36 publications

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“…To reduce the impact of environmental wind, many studies have focused on improving the design of control systems for tower cranes. Miranda-Colorado and Aguilar presented a methodology for designing controllers that attenuate the load swing angle in two-dimensional overhead crane systems with varying rope lengths [31]. El Ouni et al proposed a smart tower crane equipped with pairs of collocated sensors and actuators to mitigate turbulent wind [32].…”

Section: Background and Related Workmentioning

confidence: 99%

Exploring the Impact of Wind Loads on Tower Crane Operation

Jin

Liu

Zheng

et al. 2020

Mathematical Problems in Engineering

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The construction industry continues to be one of the industries with the highest accident rate. Tower cranes have always been the central component of many construction operations. With recent advancements in tower cranes, more efforts have been made for their safe operation. The impact of natural environmental factors on the operation of tower cranes cannot be ignored, especially the impact of the wind load, which can be found in construction regulations worldwide. Therefore, a large number of recent studies have focused on exploring different approaches to improving the impact of loads, such as improved feedback controllers and collocated sensors. However, there are few studies on the impact of the flexible cable pendulum system under wind load. To quantify the impact in this paper, first, the swing model of the hanging and the model of sling fluctuation are proposed as the base. Second, the flexible cable pendulum model is designed for the impact of tower cranes under wind load. By field experiments, the applicability of the model in practical use is analyzed. A case of the Crane Beach Hydropower Station is investigated as a demonstration. With MATLAB programming, the variation in the hanging impulse with wind speed is shown, indicating that the maximum wind speed should be 12 m/s if the factors that people can control are considered. When considering the factors that can be harmful to humans, the maximum wind speed is 17 m/s. With the proposed model, the impacts of wind load on tower crane operation can be quantified without actual deployment, offering a more straightforward quantitative tool for safe regulations and engineering management.

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Section: Background and Related Workmentioning

confidence: 99%

Exploring the Impact of Wind Loads on Tower Crane Operation

Jin

Liu

Zheng

et al. 2020

Mathematical Problems in Engineering

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“…Furthermore, many papers considered the payload as a point mass whereas Stein and Singh [43] proposed an input shaper used in conjunction with a proportional-derivative controller for a crane with an inertial payload. Other work has considered sliding mode [44,19,45], adaptive control [46], discrepancy-based control [47] and compared different control strategies [48] while including various external disturbances on cranes. Apart from time-optimal control, Sun et al [49] investigated an energy-optimal controller for an underactuated double pendulum crane with state and control constraints.…”

Section: Introductionmentioning

confidence: 99%

Minimum time control of a gantry crane system with rate constraints

Stein

Singh

2023

Mechanical Systems and Signal Processing

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“…Depending on the crane type various control strategies have been proposed and validated numerically and/or experimentally. Strategies based on H ∞ [6], [7], Neural Network [8], [9], nonlinear control [10], [11], [12], adaptive and input shaping control [13], [14], [15], [16], [17] optimal control [18], [19], vision control [20], sliding and saturated control [21], [22], [23], [24] PD control [25], hoisting control [26], [27] and combination of some of the above strategies [28], [29] were investigated and presented in the literature. The review papers [30], [31], [32], which comprehensively cover the existing literature up to 2017 and in the book [33] published in 2019 and references therein.…”

Section: Introductionmentioning

confidence: 99%