Abstract
Overhead crane systems play an important role in many engineering sites, such as harbors, factories, construction sites, etc. Traditionally, overhead crane systems are operated by experienced operators. However, due to the increased demand on fast and accurate payload positioning and suppressing of swing angles, as well as safety issues, automation, and control technologies are overwhelmingly applied in controlling of overhead crane systems. Overhead cranes are essentially an underactuated nonlinear system where motions of trolley of the payload are highly coupled, which makes them difficult to control. This chapter presents an autonomous motion control framework for overhead cranes.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ramli L, Mohamed Z, Abdullahi AM et al (2017) Control strategies for crane systems: a comprehensive review. Mech Syst Signal Process 95:1–23
Jaafar HI, Hussien SYS, Ghazali R (2015) Optimal tuning of PID + PD controller by PFS for gantry crane system. The 10th Asian Control Conf. Sabah
Yang B, Xiong B (2010) Application of LQR techniques to the anti-sway controller of overhead crane. Adv Mater Res 139–141:1933–1936
Chen H, Fang Y, Sun N (2016) A swing constraint guaranteed MPC algorithm for Underactuated overhead cranes. IEEE/ASME Trans Mechatron 21(5):2543–2555
Wu Z, Xia X, Zhu B (2015) Model predictive control for improving operational efficiency of overhead cranes. Nonlinear Dyn 79(4):2639–2657
Fang Y, Ma B, Wang P et al (2012) A motion planning-based adaptive control method for an underactuated crane system. IEEE Trans Control Syst Technol 20(1):241–248
Almutairi NB, Zribi M (2009) Sliding mode control of a three-dimensional overhead crane. J Vib Control 15(11):1679–1730
Garrido S, Abderrahim M, Gimenez A et al (2008) Anti-swinging input shaping control of an automatic construction crane. IEEE Trans Autom Sci Eng 5(3):549–557
Cole MOT (2011) A discrete-time approach to impulse-based adaptive input shaping for motion control without residual vibration. Automatica 47(11):2504–2510
Zhang X, Fang Y, Sun N (2014) Minimum-time trajectory planning for underactuated overhead crane systems with state and control constraints. IEEE Trans Industr Electron 61(12):6915–6925
Chen H, Fang Y, Sun N (2016) Optimal trajectory planning and tracking control method for overhead cranes. IET Control Theory Appl 10(6):692–699
Wang X, Liu J, Zhang Y et al (2019) A unified symplectic pseudospectral method for motion planning and tracking control of 3D underactuated overhead cranes. Int J Robust Nonlinear Control 29(7):2236–2253
Lee LH, Huang PH, Shih YC et al (2014) Parallel neural network combined with sliding mode control in overhead crane control system. J Vib Control 20(5):749–760
Smoczek J (2014) Fuzzy crane control with sensorless payload deflection feedback for vibration reduction. Mech Syst Signal Process 46(1):70–81
Wu X, He X (2016) Partial feedback linearization control for 3-D underactuated overhead crane systems. ISA Trans 65:361–370
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Wang, X., Liu, J., Peng, H. (2021). Motion Planning and Control for Overhead Cranes. In: Symplectic Pseudospectral Methods for Optimal Control. Intelligent Systems, Control and Automation: Science and Engineering, vol 97. Springer, Singapore. https://doi.org/10.1007/978-981-15-3438-6_10
Download citation
DOI: https://doi.org/10.1007/978-981-15-3438-6_10
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3437-9
Online ISBN: 978-981-15-3438-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)