Experimental study demonstrates enhanced trolley positioning and swing elimination in double-pendulum overhead cranes, indicating improved robustness against nonlinear disturbances.
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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Chai et al. (2021) studied this question.
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