Browse > Article
http://dx.doi.org/10.5916/jkosme.2014.38.10.1281

Improvement of trajectory tracking control performance by using ILC  

Le, Dang-Khanh (Department of Marine Engineering, Mokpo National Maritime University)
Nam, Taek-Kun (Division of Marine Engineering, Mokpo National Maritime University)
Abstract
This paper presents an iterative learning control (ILC) approach for tracking problems with specified data points that are desired points at certain time instants. To design ILC systems for such problems, unlike traditional ILC approaches, an algorithm which updates not only the control signal but also the reference trajectory at each trial will be developed. The relationship between the reference trajectory and ILC control in tracking problems where there are specified data points through which the system should pass is investigated as the rate of convergence. In traditional ILC, the desired data is stored in a tracking profile file. Due to the huge size of the data file containing the target points, it is important to reduce the computational cost. Finally, simulation results of the presented technique are mentioned and compared to other related works to confirm the effectiveness of proposed scheme.
Keywords
Iterative learning control; Specified data points; Trajectory update; Convergence rate; Tracking performance;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 N. Amann, D. H. Owens, and E. Rogers, "Iterative learning control using optimal feed back and feed forward actions," International Journal of Control, vol. 65, no. 2, pp. 277-293, 1996.   DOI   ScienceOn
2 D. A. Bristow, M. Tharayil, and A. G. Alleyne, "A survey of iterative learning control: A learning-based method for high-performance tracking control," IEEE Control Systems Magazine, vol. 26, no. 3, pp. 96-114, 2006.   DOI   ScienceOn
3 H. S. Ahn, Y. Q. Chen, and K. L. Moore, "Iterative learning control: brief survey and categorization," IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, vol. 37, no. 6, pp. 1099-1121, 2007.
4 K. L. Moore, "Iterative learning control: An expository overview," Journal of Applied and Computational Control, Signals, and Circuits, vol. 1, no. 1, pp. 151-214, 1999.
5 D. K. Le and T. K. Nam, "Optimal iterative learning control with model uncertainty," Journal of the Korean Society of Marine Engineering, vol. 37, no. 7, pp. 743-751, 2013.   과학기술학회마을   DOI   ScienceOn
6 D. K Le and T. K. Nam, "Performance improvement of trajectory tracking control by using ILC," Proceedings of the 38th KOSME Spring Conference, pp. 194, 2014.
7 J. X. Xu and D. Huang, "Initial state iterative learning for final state control in motion systems," Journal of Automatica, vol. 44, no. 12, pp. 3162-3169, 2008.   DOI   ScienceOn
8 G. Gauthier and B. Boulet, "Terminal iterative learning control design with singular value decomposition decoupling for thermoforming ovens," Proceedings of the American Control Conference, pp. 1640-1645, 2009.
9 C. T. Freeman, Z. Cai, E. Rogers, and P. L. Lewin, "Iterative learning control for multiple point-to-point tracking application," IEEE Transactions on Control Systems Technology, vol. 19, no. 3, pp. 590-600, 2011.   DOI   ScienceOn
10 C. T. Freeman and Y. Tan, "Point-to-point iterative learning control with mixed constraints," Proceedings of the American Control Conference, pp. 3657-3662, 2011.
11 C. T. Freeman, E. Rogers, A. M. Hughes, J. H. Burridge, and K. L. Meadmore, "Iterative learning control in healthcare electrical stimulation and robotic- assisted upper limb stroke rehabilitation," IEEE Control Systems Magazine, vol. 32, no. 1, pp. 18-43, 2012.
12 J. X. Xu and J. Xu, "Iterative learning control for non-uniform trajectory tracking problems," Proceedings of the 15th IFAC World Congress, pp. 1048-1048, 2002.
13 S. Sun, M. Egerstedt, and C. F. Martin, "Control theoretic smoothing spline," IEEE Transactions on Automatic Control, vol. 45, no. 12, pp. 2271-2279, 2000.   DOI   ScienceOn
14 C. T. Freeman, C. Zhonglun, P. L. Lewin, and E. Rogers, "Iterative learning control for multiple point-to-point tracking," Proceedings of the 48th IEEE Conference on Decision and Control, pp. 3288-3293, 2009a.
15 C. T. Freeman, C. Zhonglun, P. L. Lewin, and E. Rogers, "Objective-driven ilc for point-to-point movement tasks," Proceedings of the American Control Conference, pp. 252-257, 2009b.
16 A. D. Luca, L. Lanari, and G. A. Oriolo, "Sensitivity approach to optimal spline robot trajectories," Journal of Automatica, vol. 27, no. 3, pp. 535-539, 1991.   DOI   ScienceOn