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 ICA  Vol.1 No.2 , November 2010
Comparison of Different Control Algorithms for a Gantry Crane System
Stefan Bruins*
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Abstract: For a gantry crane system, this paper presents a comparison between four control algorithms. These algo-rithms are being compared on simplicity, stability and robustness. Goal for the controller is to move the load on a gantry crane to a new position with minimal overshoot of the load and maximal speed of the load. An-other goal is to provide an insight in the behaviour of the possible controllers. In this article a parallel P-controller, cascade P-controller, fuzzy controller and an internal model controller are used. To be able to validate and design the controllers a model is derived from the gantry crane. The controllers and the model are being implemented in Matlab Simulink. Finally the controllers are validated and tuned in Labview on a laboratory gantry scrane scale model. Main conclusion is that all presented controllers can be used as a con-troller for the gantry crane system but the fuzzy controller is showing the best performance.
Keywords: Gantry Crane, Modelling, Control, Fuzzy, Internal Model Control, Control Algorithms, Scale Model, Labview, Matlab, Simulink
Cite this paper: nullS. Bruins, "Comparison of Different Control Algorithms for a Gantry Crane System," Intelligent Control and Automation, Vol. 1 No. 2, 2010, pp. 68-81. doi: 10.4236/ica.2010.12008.
References

[1]   S. J. Nordfjord and H. Pálsson, “LEGO-Crane Controller using RCX and RoboLab”. http://fuzzy.iau.dtu.dk/ download/lego9/lego9.pdf

[2]   M. A. Ahmad and A. N. K. Nasir, “Hybrid Input Shaping and LQR control schemes of a Gantry Crane System,” Proceedings of the 3rd International Conference on Mechatronics, ICOM’08, pp. 365-372

[3]   S. W. Su, H. Nguyen, R. Jarman, J. Zhu, D. Lowe, P. McLean, S. Huang, N. T. Nguyen, R. Nicholson and K. Weng, “Model Predictive Control of Gantry Crane with Input Nonlinearity Compensation,” Proceedings of World Academy of Science, Engineering and Technology, Vol. 3, 8 february 2009, pp. 312-316.

[4]   H. Butler, G. Honderd and J. van Amerongen, “Model Reference Adaptive Control of a Gantry Crane Scale Model,” IEEE Control System, January 1991, pp. 57-62

[5]   Wahyudi, J. Jalani, R. Muhida and M. J. E. Salami, “Control Strategy for Automatic Gantry Crane Systems: A Practical and Intelligent Approach,” International Journal of Advanced Robotic Systems, Vol. 4, No. 4, (2007), pp 447-456

[6]   P. Reading, “One-Degree of Freedom Internal Model Control,” 2002, pp. 39-64. http://www.bgu.ac.il/chem_ eng/pages/Courses/oren%20courses/Chapter%203%20-%20corrected%2002.pdf

 
 
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