Fuzzy-Logic-based control of payloads subjected to double-pendulum motion in overhead cranes

Qian, Dianwei; Tong, Shiwen; Lee, Suk-Gyu

doi:10.1016/j.autcon.2015.12.014

Cited by 116 publications

(40 citation statements)

References 20 publications

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“…Without loss of generality, the following assumption, which was used in many crane‐related studies, is reasonable. The rope and the rigging can be seen as massless rigid links, and their flexibility and torsion can be neglected. For cranes working in practice, the hook is always beneath the boom, and the load is always beneath the hook; hence, the hook sway angles and the load sway angles always satisfy

- \frac{π}{2} < θ_{1}, θ_{2}, θ_{3}, θ_{4} < \frac{π}{2} .

…”

Section: Rotary Crane Modeling and Control Objectivementioning

confidence: 99%

“…Recently, some scholars have proposed a lot of methods for the double‐pendulum load sway suppression problem in crane systems . Jaafar et al presented a novel model reference command shaping approach to deal with the vibration reduction problem in a double‐pendulum overhead crane system .…”

Section: Introductionmentioning

confidence: 99%

“…Hardware experiments confirmed the proposed controllers have preferable control performance when compared with traditional ones. Some intelligent control methods, such as fuzzy control, were also applied to overhead crane system . A conventional sliding mode controller (CSMC) and a hierarchical sliding mode controller (HSMC) were presented for cranes .…”

Section: Introductionmentioning

confidence: 99%

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Tracking and load sway reduction for double‐pendulum rotary cranes using adaptive nonlinear control approach

Ouyang

Zhang

2019

Intl J Robust & Nonlinear

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Summary Because of the existence of rotational boom motion, the load sway characteristics is more complex. In particular, when the sway presents double‐pendulum phenomenon, the design of the controller is more challenging. Furthermore, the uncertain parameters and external disturbances in crane system make it difficult for traditional control methods to obtain satisfactory control performance. Hence, this paper presents an adaptive nonlinear controller based on the dynamic model of double‐pendulum rotary crane. Unlike a traditional method, the proposed one does not need to linearize the crane system for controller design; therefore, the control performance can be guaranteed even if the system states are far away from the equilibrium point. By using Lyapunov technique and LaSalle's invariance theorem, it is strictly proved that the whole control system is asymptotically stable at the equilibrium point. The effectiveness of the presented controller is demonstrated via comparative simulations.

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- \frac{π}{2} < θ_{1}, θ_{2}, θ_{3}, θ_{4} < \frac{π}{2} .

…”

Section: Rotary Crane Modeling and Control Objectivementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Tracking and load sway reduction for double‐pendulum rotary cranes using adaptive nonlinear control approach

Ouyang

Zhang

2019

Intl J Robust & Nonlinear

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“…Tairidis et al utilized the genetic algorithm (GA) for optimization of the FLC in the vibration suppression of smart structures. Qian et al developed a fuzzy controller for transport control of double‐pendulum‐type systems and used GA for tuning of the FLC parameters. Marinaki et al developed a new method based on particle swarm optimization (PSO), with a different velocity equation, for the calculation of the parameters in active control systems with FLC.…”

Section: Introductionmentioning

confidence: 99%

Optimal tuning of fuzzy parameters for structural motion control using multiverse optimizer

Azizi

Ghasemi

Ejlali

et al. 2019

Structural Design Tall Build

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Summary In recent years, there is an increasing interest in optimization of structural control algorithms. Fuzzy logic controller is one of the most common and versatile control algorithms that is generally formulated based on the human knowledge and expert. Human knowledge and experience do not yield optimal control responses for a given structure, and tuning of the fuzzy parameters is necessary. This paper focuses on the optimization of a fuzzy controller applied to a seismically excited nonlinear building. In the majority of cases, this problem is formulated based on the linear behavior of the structure; however, in this paper, objective functions and the evaluation criteria are considered with respect to the nonlinear responses of the structures. Multiverse optimizer is a novel nature‐inspired optimization algorithm that is based on the three concepts of cosmology as white hole, black hole, and wormhole. This algorithm has fast convergence rate and can be utilized in continuous and discrete optimization problems. In this paper, the multiverse optimizer is considered as the optimization algorithm for optimization of the fuzzy controller. The performance of the selected algorithm is compared with eight different optimization algorithms. The results prove that the selected algorithm is able to provide very competitive results.

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“…The most recent research results by Wu et al, 14 and Qian et al, 15 which addresses container sway problem, provide solutions related to the design of control algorithms dedicated to compensate or minimize the sway movement of the container. The presented solutions give positive results, although not all the container sway reasons were estimated.…”

mentioning

confidence: 99%

Multibody dynamic simulation and transient analysis of quay crane spreader and lifting mechanism

Andziulis

Eglynas

Bogdevičius

et al. 2016

Advances in Mechanical Engineering

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Nowadays, container shipment in the intermodal terminals is overloaded. The quay crane and its control system have to be properly prepared for rapid cargo reloading. The advanced control system may increase container loading efficiency due to the reduced transportation time. However, faster transportation demands higher safety. In this article, the authors performed multibody dynamics simulation of the container spreader and lifting mechanism by analyzing more advanced mathematical model of the quay crane. Trolley motion and cargo swing angle transient responses of the dynamic system were acquired and analyzed during model simulation. The main target of this research is to determine the system behavior during transients. The simulation results showed that the transients induced by startup of the vertical spreader travel affect the whole crane system in all the investigated cases. In addition, the influence of flexible cable causes additional oscillations of cargo and reciprocating trolley displacement. The simulation of the container spreader and lifting mechanism will help detect motion deviations of the quay crane in real time. KeywordsMultibody dynamics, transients, simulation, mathematical modeling, quay crane General introduction Risk of cargo transportation process and impact of crane restrictionsEvery year, container shipment is increasing and the container terminals get loaded more. Because of this situation, the terminals must load more containers using the same transportation equipment. One of the most important aspects of cargo loading is operation safety which can decrease in overloaded terminals. [1][2][3] In order to ensure safety of the container during transportation, an optimal operational strategy 4,5 of a quay crane control has to be ensured. In addition, the restrictions and limitations of the intermodal quay crane have to be appropriately assessed performing numerical simulations of multibody dynamics and the transient processes.One of the most researched cargo damage reasons in the past years is container swinging. 2,6,7 The main cause of the container and spreader swinging is the flexible steel cable connection between the spreader and trolley of the quay crane. 8 The container can produce swinging motion because of different container weights, wind gusts, and human actions. As a result, more time is required for the container shipment from point A to

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Fuzzy-Logic-based control of payloads subjected to double-pendulum motion in overhead cranes

Cited by 116 publications

References 20 publications

Tracking and load sway reduction for double‐pendulum rotary cranes using adaptive nonlinear control approach

Tracking and load sway reduction for double‐pendulum rotary cranes using adaptive nonlinear control approach

Optimal tuning of fuzzy parameters for structural motion control using multiverse optimizer

Multibody dynamic simulation and transient analysis of quay crane spreader and lifting mechanism

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