Analysis of the optimal speed-based start-up mode of the tower crane swing mechanism under control limitations

Authors

DOI:

https://doi.org/10.32347/2410-2547.2026.116.251-262

Keywords:

tower crane, load, velocity, slewing mechanism, optimal control constraints, Ring-Rot-PSO method

Abstract

A comparative analysis of the optimal starting mode of the tower crane slewing mechanism in terms of speed under asymmetric (task 1) and symmetric (task 2) constraints on optimal control is presented in a scientific article. A two-mass dynamic model was used for the research, whose motion in time is described by a system of two second-order differential equations. In the course of further research, the system of two second-order differential equations was reduced to a single fourth-order differential equation. After performing the appropriate transformations, the fourth-order differential equation was presented in Cauchy form and the initial and final conditions of motion were given, under which the load oscillations will be eliminated after the turning mechanism reaches a steady speed.The optimisation task itself was reduced to the task of unconditional minimisation of a complex integral-terminal functional, where the terminal component is responsible for the fulfilment of the final boundary conditions, and the integral component is responsible for the speed of the mechanism. A series of 54 experimental studies (27 for each of the tasks under investigation) was planned, in which the independent factors were the length of the flexible suspension (which was 10, 15 and 20 metres), the load projection (which was 5, 15 and 20 m), and the load mass (which was 500, 2000 and 5000 kg).During the theoretical studies, the main assessment was carried out according to the following indicators: the duration of the system acceleration to the steady-state speed value; the maximum deviation of the flexible suspension of the load from the vertical; the maximum and root mean square values of the power in the drive and the acceleration of the load.The results of the analysis showed that when using asymmetric constraints for optimal control (task 1), the acceleration time of the studied system to a steady state speed increases compared to symmetric constraints (task 2) in the range from 1.23 to 15. 28 %, and the maximum values of kinematic characteristics decrease from 5.46 to 42.85 % and energy indicators from 0.48 to 27.83 %.

References

AI-Rawashdeh Y.M. A suppress-excite approach for online trajectory generation of uncertain motion systems. Mechanical Systems and Signal Processing. 2023. Vol. 186.

Fasih S.M., Mohamed Z., Husain A.R., Ramli L., Abdullahi A.M., Anjum W. Payload swing control of a tower crane using a neural network-based input shaper. Measurement and Control. 2020. Vol. 53, Issue 7–8. pp. 1171–1182. DOI: 10.1177/0020294020920895.

Jebellat I., Sharf I. Motion planners for path or waypoint following and end-effector sway damping. IEEE Transactions on Automation Science and Engineering. 2024. Vol. 22. pp. 8439–8452. DOI: 10.1109/TASE.2024.3486040.

Kim G.-H., Pham P.-T., Ngo Q.H., Nguyen Q.C. Neural network-based robust anti-sway control of an industrial crane subjected to hoisting dynamics and uncertain hydrodynamic forces. International Journal of Control, Automation and Systems. 2021. Vol. 19, Issue 5. pp. 1953–1961. DOI: 10.1007/s12555-020-0333-9.

Kovalenko V.O., Kovalenko O.O., Stryzhak V.V., Svirgun V.P., Stryzhak M.H. Optimization of the control system for the tower crane rotation mechanism. Bulletin of NTU “KhPI”. Series: Automobile and Tractor Engineering. 2022. Vol. 1. pp. 84–95. DOI: 10.20998/2078-6840.2022.1.10.

Svirgun V.V., Svirgun V.P., Antoshhenkov R.V. Microprocessor-based control system for an overhead crane based on Arduino. Engineering of Nature Management. 2022. Vol. 1(23). pp. 87–91. DOI: 10.5281/zenodo.6822931.

Chwastek S. Finding the globally optimal correlation of cranes drive mechanisms. Mechanics Based Design of Structures and Machines. 2021. Vol. 51, Issue 6. pp. 3230–3241. DOI: 10.1080/15397734.2021.1920978.

Luan G., Liu P., Zhang M., Ma H., Ning D., Liu G. Payload transfer and swing suppression via robust tracking control based on disturbance employment for ship-to-ship crane systems. Ocean Engineering. 2025. Vol. 323. Article number 120653. DOI: 10.1016/j.oceaneng.2025.120653.

Arbatsofla S.M., Mazinan A.H., Mahmoodabadi M.J. An optimal fuzzy fractional-order adaptive robust controller according to feedback linearization for an under-actuated nonlinear inverted pendulum system. International Journal of Dynamics and Control. 2025. Vol. 13. Article number 107. DOI: 10.1007/s40435-025-01611-y.

Tong T.L., Pham V.K., Duong M.D. Hybrid Input Shaping and Hierarchical Sliding Mode Control Design for Tower Crane. Journal of Control, Automation and Electrical Systems. 2025. Vol. 36. pp. 1068–1080. DOI: 10.1007/s40313-025-01207-z.

Podolyak O., Khoroshylov O., Anenko K. Investigation of combined motion of lifting, slewing, and jib length adjustment mechanisms in crane DEK-251. Engineering. 2022. Vol. 28. pp. 18–25. DOI: 10.32820/2079-1747-2021-28-18-25.

Romasevych Yu., Loveikin V., Bakay B. A Real-World Benchmark Problem for Global Optimization. Cybernetics and Information Technologies. 2023. Vol. 23, No. 3. pp. 23–39. DOI: 10.2478/cait-2023-0022.

Loveikin V., Romasevych Yu., Spodoba O., Loveykin A., Pochka K. Optimization of the mode of movement of the boom system of the loader crane. Opirmaterialiviteoriasporud - Strength of materials and theory of structures. 2023. Issue111, pp. 223-236. DOI: 10.32347/2410-2547.2023.111.223-236.

Montonen J.-H., Nevaranta N., Niemelä M., Lind T. Comparison of Extrainsensitive Input Shaping and Swing-Angle-Estimation-Based Slew Control Approaches for a Tower Crane. Applied Sciences. 2022. Vol. 12. p. 5945. DOI: 10.3390/app12125945.

Loveikin V., Romacevych Yu., Stekhno O. Synthesis of the optimal by duration closed-loop optimal control of the dynamic system "Crane-Load" of the tower crane slewing mechanism. Hebezeuge und Fördermittel. 2025. Vol. 2(70). pp. 4–15. DOI: 10.15276/pidtt.2.70.2025.01.

Romacevych Y., Loveikin V., Loveikin Y. Development of new rotating ring topology of PSO-algorithm. IEEE 2nd KhPI Week on Advanced Technology. 2021. pp. 79–82. DOI: 10.1109/KhPIWeek53812.2021.9569973.

Downloads

Published

2026-05-28

Issue

Section

Статті