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Anti-Sway Position Control of an Automated Transfer Crane Based on Neural Network Predictive PID Controller  

Suh Jin-Ho (Department of Electrical Engineering, Dong-A National University)
Lee Jin-Woo (Department of Electrical Engineering, Dong-A National University)
Lee Young-Jin (Department of Electrical Instrument and Control, Korea Aviation Polytechnic College)
Lee Kwon-Soon (Division of Electrical, Electronic, and Computer Engineering, Dong-A University)
Publication Information
Journal of Mechanical Science and Technology / v.19, no.2, 2005 , pp. 505-519 More about this Journal
Abstract
In this paper, we develop an anti-sway control in proposed techniques for an ATC system. The developed algorithm is to build the optimal path of container motion and to calculate an anti-collision path for collision avoidance in its movement to the finial coordinate. Moreover, in order to show the effectiveness in this research, we compared NNP PID controller to be tuning parameters of controller using NN with 2 DOF PID controller. The simulation and experimental results show that the proposed control scheme guarantees performances, trolley position, sway angle and settling time in NNP PID controller than other controller. As the results in this paper, the application of NNP PID controller is analyzed to have robustness about disturbance which is wind of fixed pattern in the yard. Accordingly, the proposed algorithm in this study can be readily used for industrial applications.
Keywords
Automated Transfer Crane (ATC); Neural Network Predictive (NNP) Control; Predictive Control; NN Auto Tuner; Anti-Sway Control; Collision Avoidance Path;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
Times Cited By Web Of Science : 1  (Related Records In Web of Science)
Times Cited By SCOPUS : 1
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1 Furuta, K., 1980, State Variable Methods in Automatic Control, John Willey and Sons
2 Kim, Y. B., 2004, 'A New Approach to AntiSway System Design Problem,' KSME International Journal, Vol. 18, No.8, pp. 1306-1311
3 Klaassens, J. B., Honderd, G., Azzouzi, A. E., Cheok, K. C. and Smid, G. E., 1998, '3D Modeling Visualisation for Studying Controls of the Jumbo Container Crane,' Proc. of the American Control Conference, pp. 1754-1758   DOI
4 Canbulut, F., Sinanoglu, C. and Yildirim, S., 2004, 'Analysis of Effects of Sizes of Orifice and Pockets on the Rigidity of Hydrostatic Bearing using Neural Network Predictor System,' KSME International Journal, Vol. 18, No.3, pp.432-442   과학기술학회마을
5 Choi, S. W., 2001, 'A Development of ATCS for Automatic Transfer Crane,' M. D. Thesis, Dong-A University, Busan, Korea
6 Werbos, P. J., 1992, 'Neural Networks and Human Mind ; New mathematics fits humanistics insight,' Trans. on IEEE Systems, Man, and Cybernetics, Vol. 1, pp. 78-83
7 Lee, J. K., Park, Y. J. and Lee, S. R., 1996, 'Development of a Motion Control Algorithm for the Automatic Operation System of Overhead Crane,' Trans. on KSME in Korea, Vol. 20, No. 10, pp.3160-3172   과학기술학회마을
8 Sakawa, Y. and Shindo, Y., 1982, 'Optimal Control Container Crane,' Trans. on IFAC, Vol. 18, No.3, pp.257-266
9 Sohn, D. S., Min, J. T., Lee, J. W., Lee, J. M. and Lee, K. S., 2003, 'A Study on Development of A TCS for Automated Transfer Crane using Neural Network Predictive PID Controller,' Proc. of SICE Annual Conference, pp.3170-3175
10 Suh, J. H., Lee, Y. J. and Lee, K.S., 2004, 'Anti-sway Control of an ATC using NN Predictive PID Control,' Proc. of the 30th Annual Conference on the IEEE Industrial Electronics Society   DOI
11 Kwok, K. S. and Drissen, B. J., 'Path Planning for Complex Terrain Navigation VIa Dynamic Programming,' Proc. of the American Control Conference, pp. 2941-2944, 1999   DOI
12 Lee, H. H., 1997, 'Modeling and Control of a 2-Dimensional Overhead Crane,' Proc. of the ASME Dynamic Systems and Control Division, Vol. 61, pp. 535-542
13 Lee, H. H., 1998, 'Modeling and Control of a Three-Dimensional Overhead Crane,' ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 120, No.4, pp. 471-476   DOI