PID-like coupling control of underactuated overhead cranes with input constraints

Zhang, Shengzeng; He, Xiongxiong; Zhu, Haiyue; Li, Xiaocong; Liu, Xinggao

doi:10.1016/j.ymssp.2022.109274

Cited by 18 publications

(4 citation statements)

References 43 publications

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“…Noncollocated quasi-PID control laws have been designed for single and double-pendulum systems in [303] [240], respectively, based on the Lyapunov theorem to avoid control saturation. The PID controller may also be integrated with neural networks to compensate for the steady-state error as introduced in [246].…”

Section: Noncollocated Pid (Quasi-pid) Controlmentioning

confidence: 99%

Modeling and control of overhead cranes: A tutorial overview and perspectives

Mojallizadeh

Brogliato

Prieur

2023

Annual Reviews in Control

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Section: Noncollocated Pid (Quasi-pid) Controlmentioning

confidence: 99%

Modeling and control of overhead cranes: A tutorial overview and perspectives

Mojallizadeh

Brogliato

Prieur

2023

Annual Reviews in Control

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“…17,18 Hence, it needs to be combined with other control strategies, such as objective optimization algorithm, 19 neural network-based PID controllers, 20 genetic algorithm-based PID controllers, 21 and fuzzy control-based PID controllers. 22,23 Subsequent studies have increasingly focused on PD controllers combined with input shaping, 24,25 which is effective in suppressing the oscillations in mechanical systems such as manipulators 26 and spacecraft. 27 Recently, some researchers have applied the control schemes to cranes.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Response of an Overhead Crane with Anti-Swing Controller in Driving Force and Energy Consumption

Gao,

Gong,

et al. 2024

The International Journal of Acoustics and Vibration

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Cargo sway caused by overhead crane operation not only reduces crane efficiency and safety but also affects the driving force and energy consumption of the operating mechanism. In this paper, a control scheme based on proportional derivative (PD) control and an input shaping technique is proposed to suppress cargo sway. First, the dynamics model of the crane system is established, and the mathematical expressions of the cargo sway, driving force, and energy consumption are derived. The accuracy of the dynamics model is verified through a comparison between the simulations and experiments. Then, a PD-IS controller is designed based on the dynamics model. Finally, the performance of the designed controller is simulated under four typical excitation signals and compared to that of the standard PD controller.

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“…Shah and Hong [10] applied input shaping for the underwater transport of nuclear power plant's fuel. There have been numerous publications related to the use of input shapers [1,2,11] for sway control of cranes [12,5,13,14,15,16,17,18,19,20,21,22]. Maghsoudi et al [23] applied a distributed time-delay filter on a gantry crane.…”

Section: Introductionmentioning

confidence: 99%