Abstract
The cherrypicker system has long mechanical arms and an unactuated bucket, which helps raise up workers to implement difficult aerial works on high up towers, power lines, and buildings. However, due to the gravity and inertia, the bucket has residual vibration which brings safety concerns. In order to design controllers to suppress the oscillation, this paper first provides a dynamic model of a two-armed cherrypicker system with friction by using Lagrange’s modeling method and also derives the matrix form dynamic equation. Numerical simulation results verify the feasibility of the model.
Yiming Wu and Yifa Liu contribute equally to this paper.
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Notes
- 1.
In Case 1, the simulation results are only used to testify the correctness of the model without considering the angular constraints. Actually, the joint angle constraints of a practical cherrypicker (usually \(-\pi /2\le \theta _1\le \pi /2,0\le \theta _2\le \pi /2,-\pi \le \theta _3\le \pi \)) can be easily realized by mechanical design.
References
Yang, C., Li, Z., Li, J.: Trajectory planning and optimized adaptive control for a class of wheeled inverted pendulum vehicle models. IEEE Trans. Cybern. 43, 24–36 (2013)
Sun, N., Fang, Y., Chen, H., Lu, B.: Amplitude-saturated nonlinear output feedback antiswing control for underactuated cranes with double-pendulum cargo dynamics. IEEE Trans. Industr. Electron. 64, 2135–2146 (2017)
Li, B., Fang, Y., Hu, G., Zhang, X.: Model-free unified tracking and regulation visual servoing of wheeled mobile robots. IEEE Trans. Control Syst. Technol. 24, 1328–1339 (2016)
Zhang, M., Ma, X., Chai, H., Rong, X., Tian, X., Li, Y.: A novel online motion planning method for double-pendulum overhead cranes. Nonlinear Dyn. 85, 1079–1090 (2016)
Sun, N., Wu, Y., Fang, Y., Chen, H.: Nonlinear antiswing control for crane systems with double pendulum swing effects and uncertain parameters: design and experiments. IEEE Trans. Autom. Sci. Eng. (2017, in press). doi:10.1109/TASE.2017.2723539
Cheng, L., Wang, Y., Ren, W., Hou, Z.-G., Tan, M.: Containment control of multiagent systems with dynamic leaders based on a PI\(^n\)-type approach. IEEE Trans. Cybern. 46, 3004–3017 (2016)
Sun, N., Yang, T., Fang, Y., Lu, B., Qian, Y.: Nonlinear motion control of underactuated 3-dimensional boom crane systems with hardware experiments. IEEE Trans. Industr. Inform. (2017, in press). doi:10.1109/TII.2017.2754540
Bai, L., Zhou, Q., Wang, L., Yu, Z.: Observer-based adaptive control for stochastic nonstrict-feedback systems with unknown backlash-like hysteresis. Int. J. Adapt. Control Signal Process. (2017, in press). doi:10.1002/acs.2780
Sun, N., Wu, Y., Fang, Y., Chen, H., Lu, B.: Nonlinear continuous global stabilization control for underactuated RTAC systems: design, analysis, and experimentation. IEEE/ASME Trans. Mechatron. 22, 1104–1115 (2017)
Li, S., Li, J.: Output predictor-based active disturbance rejection control for a wind energy conversion system with PMSG. IEEE Access 5, 5205–5214 (2017)
Li, S., Li, J., Mo, Y.: Piezoelectric multimode vibration control for stiffened plate using ADRC-based acceleration compensation. IEEE Trans. Industr. Electron. 61, 6892–6902 (2014)
Sun, N., Fang, Y., Chen, H., Fu, Y., Lu, B.: Nonlinear stabilizing control for ship-mounted cranes with disturbances induced by ship roll and heave movements: design, analysis, and experiments. IEEE Trans. Syst. Man Cybern. Syst. (2017, in press). doi:10.1109/TSMC.2017.2700393
He, W., Chen, Y., Yin, Z.: Adaptive neural network control of an uncertain robot with full-state constraints. IEEE Trans. Cybern. 46, 620–629 (2016)
Lee, S., Gil, M., Lee, K., Lee, S., Han, C.: Design of a ceiling glass installation robot. In: 24th International Symposium on Automation and Robotic in Construction, pp. 247–252. Construction Automation Group, I.I.T. Madras (2007)
Hong, Y., Han, S.-H., Lee, J.-J., Hong, D.-P., Kim, Y.-M.: Structural analysis of boom system in 42 m aerial platform truck. Key Eng. Mater. 353–358, 2817–2821 (2007)
Ge, M., Li, E., Liang, Z., Tan, M.: Design of a hydraulic-cylinder-pressure-based anti-overturning module for aerial work platforms. In: Fourth International Conference on Intelligent Computation Technology and Automation, Shenzhen, Guangdong, China, pp. 974–977 (2011)
Hernandez, E.C.: Dynamic characterization and analysis of aerial lifts. Georgia Institute of Technology (2012)
Yuan, Q.H., Lew, J., Piyabongkarn, D.: Motion control of an aerial work platform. In: American Control Conference, pp. 2873–2878. Hyatt Regency Riverfront, St. Louis (2009)
Maleki, E., Pridgen, B., Xiong, J.Q., Singhose, W.: Dynamic analysis and control of a portable cherrypicker. Am. Soc. Mech. Eng. 2, 477–482 (2010)
Pridgen, B., Maleki, E., Singhose, W., Seering, W., Glauser, U., Kaufmann, L.: A small-scale cherrypicker for experimental and educational use. In: American Control Conference, O’Farrell Street, San Francisco, CA, USA, pp. 681–686 (2011)
Hongxia, J., Wanli, L., Singhose, W.: Using two-mode input shaping to suppress the residual vibration of cherrypickers. In: Third International Conference on Measuring Technology and Mechatronics Automation, Shanghai, China, pp. 1091–1094 (2011)
Acknowledgments
This work is supported by the National Natural Science Foundation of China under Grant 61503200, the Natural Science Foundation of Tianjin under Grant 15JCQNJC03800, and the China Postdoctoral Science Foundation under Grant 2016M600186 and under Grant 2017T100153.
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Wu, Y., Liu, Y., Sun, N., Fang, Y. (2017). Dynamics Analysis of Underactuated Cherrypicker Systems with Friction. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science(), vol 10639. Springer, Cham. https://doi.org/10.1007/978-3-319-70136-3_37
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DOI: https://doi.org/10.1007/978-3-319-70136-3_37
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