Input shaping control for underactuated dual overhead crane system with holonomic constraints

被引:4
|
作者
Lu B. [1 ]
Wu Z. [2 ]
Fang Y.-C. [1 ]
Sun N. [1 ]
机构
[1] Institute of Robotics and Automatic Information System, Nankai University, Tianjin
[2] Institute of Chemistry Chinese Academy of Sciences, Beijing
来源
Fang, Yong-Chun (fangyc@nankai.edu.cn) | 1805年 / South China University of Technology卷 / 35期
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Dual overhead crane system; Holonomic constraint; Input shaping; Swing suppression; Underactuated;
D O I
10.7641/CTA.2018.80706
中图分类号
学科分类号
摘要
As important transportation tools, cranes are playing a very important role in various industrial fields. However, as the cargoes grow larger and heavier, in many circumstances, they have to be delivered cooperatively by two cranes. Though frequently utilized, the research of such dual overhead crane system (DOCS) is still at a primary stage. In view of this, an input shaping control method is proposed for DOCS in this paper. Specifically, the holonomic constraints of the system are elaborately analyzed at first, and the model is simplified properly without losing much accuracy. Furthermore, the dynamic relationship between the trolley position and the payload swing angle is obtained. Based on that, several input shapers are designed by calculating the real oscillating period of the DOCS. The proposed method ensures good antiswing ability and satisfactory robustness against parameter uncertainties without affecting the payload positing accuracy. Simulation and experimental results also verify this point convincingly. © 2018, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved.
引用
收藏
页码:1805 / 1811
页数:6
相关论文
共 15 条
  • [1] Lu B., Fang Y., Sun N., Continuous sliding mode control strategy for a class of nonlinear underactuated systems, IEEE Transactions on Automatic Control, 63, 10, pp. 3471-3478, (2018)
  • [2] Rams H., Schoberl M., Schlacher K., Optimal motion planning and energy-based control of a single mast stacker crane, IEEE Transactions on Control Systems Technology, 26, 4, pp. 1449-1457, (2018)
  • [3] Lu B., Fang Y., Sun N., Nonlinear control for underactuated multirope cranes: modeling, theoretical design and hardware experiments, Control Engineering Practice, 76, pp. 123-132, (2018)
  • [4] Chwa D., Sliding mode control-based robust finite-time anti-sway tracking control of 3-D overhead cranes, IEEE Transactions on Industrial Electronics, 64, 8, pp. 6775-6784, (2017)
  • [5] Lu B., Fang Y., Sun N., Et al., Antiswing control of offshore boom cranes with ship roll disturbances, IEEE Transactions on Control Systems Technology, 26, 2, pp. 740-747, (2018)
  • [6] Sun N., Fang Y., Chen H., Antiswing tracking control for underactuated bridge cranes, Control Theory & Applications, 32, 3, pp. 326-333, (2015)
  • [7] Qian Y., Fang Y., Lu B., Adaptive repetitive learning control for an offshore boom crane, Automatica, 82, pp. 21-28, (2017)
  • [8] Souissi R., Koivo A.J., Modelling and control of two co-operating planar cranes, Proceedings of the IEEE International Conference on Robotics and Automation, pp. 957-962, (1993)
  • [9] Leban F.A., Coordinated control of a planar dual-crane non-fully restrained system, (2008)
  • [10] Ku N., Ha S., Dynamic response analysis of heavy load lifting operation in shipyard using multi-cranes, Ocean Engineering, 83, 2, pp. 63-75, (2014)