LQR Pendulation Reduction Control of Ship-Mounted Crane Based on Improved Grey Wolf Optimization Algorithm

Ming, Sun; Ji, Changyu; Luan, Tiantian; Wang, Nan

doi:10.1007/s12541-022-00763-7

Cited by 8 publications

(2 citation statements)

References 19 publications

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“…The emergence of high‐rise buildings, as well as the production of equipment of large sizes, encourages the use of modern systems, especially tower crane systems (TCS), to conveniently accomplish various tasks within the shortest period (Mojallizadeh et al, 2023; Tang et al, 2023). There are commonly three types of crane systems depending on the application; gantry cranes (Cuong & Tuan, 2023), boom cranes (Sun et al, 2023), and tower cranes (Schatz & Caverly, 2023).…”

Section: Introductionmentioning

confidence: 99%

Hybrid input shaping and fuzzy logic‐based position and oscillation control of tower crane system

Alhassan,

Assawinchaichote,

Zhang

et al. 2023

Expert Systems

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Effective control of the tower crane system (TCS) is crucial for the safe and quick transport of goods from one point to another in industries and construction sites. However, the existing literature either depends on the dynamic model of the system, which is prone to errors and assumptions, or requires the feedback of the states to be controlled, which can be costly and or complex. In particular, the TCS has many states and is highly nonlinear. Thus, a non‐model‐based control approach that depends on minimal feedback sensors is needed. The primary contribution of this work is that the potential hybrid configurations of the input shaping control (ISC) and fuzzy logic control (FLC) were proposed and investigated. The study provides the best hybrid configuration of the ISC and FLC (non‐model‐based controllers) for optimal positioning and anti‐swing control of the TCS. Three configurations of the ISC + FLC, namely shaper as reference input (SARI), shaper as input to the FLC (SAI2F), and shaper as input to the plant (SAI2P) were investigated to assess the optimal hybrid configuration of the ISC + FLC. The results demonstrated that the hybrid ISC + FLC scheme had improved the response of ISC by at least 150% and enhanced the oscillation reduction of FLC by 72%. Finally, these analyses showed that the ISC + FLC could achieve reasonable control of the tower crane by only considering the output of one state (position). This makes the control scheme cheaper and reduces the complexity and computational time compared to other full‐state feedback controllers.

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Section: Introductionmentioning

confidence: 99%

Hybrid input shaping and fuzzy logic‐based position and oscillation control of tower crane system

Alhassan,

Assawinchaichote,

Zhang

et al. 2023

Expert Systems

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show abstract

“…[18] addressed the anti-swing problem of ship-mounted jib cranes by proposing a parallel anti-swing method with three degrees of freedom for main and auxiliary transmission lines to reduce swing. Sun [19] utilized an LQR controller built on the enhanced grey wolf algorithm to reduce the swing of a ship-mounted crane and improve response speed. Li, G. [20] presented a full-state constrained obstacle crossing optimal trajectory planning strategy based on time polynomials for a dual-pendulum tower crane, which avoids obstacles while suppressing swinging of the jib and hook.…”

Section: Introductionmentioning

confidence: 99%

Research on the Anti-Swing Control Methods of Dual-Arm Wheeled Inspection Robots for High-Voltage Transmission Lines

Yang,

Yan,

Zhang

et al. 2023

Actuators

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This paper presents an anti-swing control method to prevent situations where inspection robots detach and fall off transmission lines during obstacle crossing due to excessive swing angles caused by the rotation of the robot around the transmission line. Firstly, an obstacle-crossing model for the inspection robot was constructed and the causes of robot swinging phenomena were analyzed, in addition to their impact on obstacle crossing stability. By combining this with the obstacle-crossing model, a moment balance equation was established for the inspection robot. This equation can be used to solve mapping relationships between body offset and the tilt angle of transmission line gripping arms. We propose an anti-swing control strategy by adjusting the angle of the transmission line gripping arm’s pitching joint to make the body offset approach zero, and by utilizing the advantages of fuzzy logic in the fuzzy PID algorithm compared with the traditional PID algorithm, it can adaptively avoid the occurrence of robot swinging phenomena. The experimental results of obstacle-crossing experiments under no wind and wind turbulence conditions indicated that the proposed anti-swing control method in this study can effectively keep the body offset to within 3 mm. Compared with the methods of not using anti-swing control and using traditional PID anti-swing control, in the absence of wind effects, the peak values of body offset were reduced by 96.53% and 18.85%, respectively. Under the influence of wind turbulence, the peak values of body offset were reduced by 97.02% and 27.12%, respectively. The effectiveness of the anti-swing control method proposed in this paper has thus been verified.

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Comprehensive Review of Metaheuristic Algorithms (MAs) for Optimal Control (OCl) Improvement

Mohammed,

Karataev,

Oshiga

et al. 2024

Arch Computat Methods Eng

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LQR Pendulation Reduction Control of Ship-Mounted Crane Based on Improved Grey Wolf Optimization Algorithm

Cited by 8 publications

References 19 publications

Hybrid input shaping and fuzzy logic‐based position and oscillation control of tower crane system

Hybrid input shaping and fuzzy logic‐based position and oscillation control of tower crane system

Research on the Anti-Swing Control Methods of Dual-Arm Wheeled Inspection Robots for High-Voltage Transmission Lines

Comprehensive Review of Metaheuristic Algorithms (MAs) for Optimal Control (OCl) Improvement

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