Research on load anti-sway control strategy of bridge crane based on IDBO

Aiming at the problem that the lifting weight is prone to swaying during the lifting work of bridge cranes, an improved dung beetle optimizer (IDBO) is proposed to ensure the operational safety and improve the operational stability. Based on the dung beetle optimization algorithm, the directional search of dancing dung beetles is improved to enhance the directional stability and prevent the optimal solution from being skipped by too large a step size; an improved spiral search strategy is introduced to the breeding stage to balance the global exploration and local exploitation of the algorithm; a flight mechanism is introduced to enrich the population diversity; and finally, dynamic t-distribution variations are introduced to improve the algorithm's global exploration capability and the accuracy of the search for the optimal solution. The test function experimental results show that compared with other algorithms, IDBO exhibits better convergence speed and stability. A control strategy incorporating the improved dung beetle algorithm with pendulum angle output compensation to optimize the PID controller parameters is proposed. And comparative experiments are carried out in the MATLAB/Simulink simulation platform, and the simulation experimental results show that the IDBO-PID algorithm significantly improves the load swing suppression effect.