Control Design for Overhead Crane with Variable Cable Length
Main Article Content
Abstract
Although overhead crane systems play a vital role in industrial operations, their control remains challenging due to underactuated, strong dynamic coupling, and payload oscillations. Existing approaches have shown effectiveness in reducing oscillations but often struggle with external disturbances, parameter variations, and the complexities of tuning. Moreover, many previous studies assume constant payload vibration frequencies, whereas real-world operations frequently involve varying rope lengths, leading to frequency changes and reduced controller performance. To overcome these limitations, this paper proposes a dual control framework: a proportional-derivative and sliding mode control (PD-SMC) strategy for trolley positioning and payload swing suppression, combined with an active disturbance rejection control (ADRC) scheme for cable length regulation. The PD-SMC ensures accurate and robust motion control under disturbances, while ADRC provides fast tracking performance with reduced modeling dependency. Simulation results validate that the proposed approach achieves precise positioning and effective swing suppression, even under varying rope lengths.
Keywords
Crane control design, Model uncertainties, Swing suppression, Underactuated systems, Varying rope length
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
References
https://doi.org/10.1016/j.arcontrol.2023.03.002.
[2] M. Maghsoudi, Z. Mohamed, M. Tokhi, A. Husain, and M. Abidin, Control of a gantry crane using input-shaping schemes with distributed delay, Transactions of the Institute of Measurement and Control, vol. 39, no. 3,
pp. 361–370, 2017.
https://doi.org/10.1177/0142331215607615.7
[3] M. Maghsoudi, L. Ramli, S. Sudin, Z. Mohamed, A. Husain, and H. Wahid, Improved unity magnitude input shaping scheme for sway control of an underactuated 3D overhead crane with hoisting, Mechanical Systems and Signal Processing, vol. 123, pp. 466–482, 2019.
https://doi.org/10.1016/j.ymssp.2018.12.056.
[4] Z. Mohamed, M. S. Zainal Abidin, S. Buyamin, and A. Bature, Output-based command shaping technique for an effective payload sway control of a 3D crane with hoisting, Transactions of the Institute of Measurement
and Control, vol. 39, Apr. 2016.
https://doi.org/10.1177/0142331216640871.
[5] A. M. Abdullahi, Z. Mohamed, H. Selamat, H. R. Pota, M. Zainal Abidin, F. Ismail, and A. Haruna, Adaptive output-based command shaping for sway control of a 3D overhead crane with payload hoisting and wind
disturbance, Mechanical Systems and Signal Processing, vol. 98, pp. 157–172, 2018.
https://doi.org/10.1016/j.ymssp.2017.04.034.
[6] T. B. Tran, M. D. Nguyen, M. D. Duong, and T. H. Do, ZV Shaper – ADRC combination control for crane system with constrained control signal, Journal
of Measurement, Control, and Automation, vol. 4, no. 3, pp. 32–38, Dec. 2023.
https://doi.org/10.64032/mca.v4i3.189.
[7] M. D. Duong, M. D. Le, D. L. Le, and Q. T. Dao, Control of the Tower Crane Using Input Shaping-Sliding
Mode Control, Smart Systems and Devices, vol. 34, no. 1, pp. 51–57, 2024.
https://doi.org/10.51316/jst.171.ssad.2024.34.1.7.
[8] M.-S. Park, D. Chwa, and M. Eom, Adaptive slidingmode antisway control of uncertain overhead cranes with high-speed hoisting motion, IEEE Transactions on Fuzzy Systems, vol. 22, no. 5, pp. 1262–1271, 2014.
https://doi.org/10.1109/TFUZZ.2013.2290139.
[9] P.-Y. Shen, J. Schatz, and R. J. Caverly, Passivity-based adaptive trajectory control of an underactuated 3-dof
overhead crane, Control Engineering Practice, vol. 112, pp. 104834, 2021.
https://doi.org/10.1016/j.conengprac.2021.104834.
[10] M.-L. Nguyen, H.-P. Nguyen, and T.-V.-A. Nguyen, H-infinity approach control on Takagi-Sugeno fuzzy model for 2-D overhead crane system, Journal of Applied Science and Engineering, vol. 28, pp. 995–1003, July
2024.
https://doi.org/10.6180/jase.202505 28(5).0008.
[11] H.-P. Nguyen, N.-T. Bui, and T.-V.-A. Nguyen, Tracking control based on Takagi-Sugeno fuzzy descriptor model for overhead crane combined with input shaping, IEEE Access, vol. 12, pp. 127507–127521, 2024.
https://doi.org/10.1109/ACCESS.2024.3456815.
[12] D. Qian and J. Yi, Hierarchical sliding mode control for underactuated cranes: design, analysis and simulation, Springer Berlin, Heidelberg, 2015.
[13] M. Zhang, Y. Zhang, and X. Cheng, An enhanced coupling PD with sliding mode control method for underactuated double-pendulum overhead crane systems, International Journal of Control, Automation and Systems, vol. 17, no. 6, pp. 1579–1588, 2019.
https://doi.org/10.1007/s12555-018-0646-0.
[14] T. H. Do, M. D. Nguyen, and M. D. Duong, A modified ETM shaper for double pendulum crane control with payload hoisting, Journal of Applied Science and Engineering, vol. 28, pp. 1727–1735, 2024.
https://doi.org/10.6180/jase.202508 28(8).0010.