Constrained point-to-point iterative learning control with experimental verification

Control Engineering Practice

Volumn 20, Issue 5, 2012, Pages 489-498

  Freeman, Chris T ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Experimental verification; Iterative learning control; Linear systems; Motion control; Optimization

Indexed keywords

CONTROL PROBLEMS; DESIGN FRAMEWORKS; DESIGN FREEDOM; EXPERIMENTAL VERIFICATION; FINITE TIME; ITERATIVE LEARNING; ITERATIVE LEARNING CONTROL; POINT-TO-POINT MOTION; REFERENCE TRAJECTORIES; STATE CONSTRAINTS; TRACKING ERRORS;

LINEAR SYSTEMS; MOTION CONTROL; OPTIMIZATION;

TWO TERM CONTROL SYSTEMS;

EID: 84857644135     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conengprac.2012.01.003     Document Type: Article

References (29)

1. Ahn H.S., Chen Y., Moore K.L. Iterative learning control: Brief survey and categorization. IEEE Transactions on Systems, Man and Cybernetics - Part C: Applications and Reviews 2007, 37(6):1099-1121.
2. Amann, N., Owens, D. H., & Rogers, E. (March 1996). Iterative learning control for discrete-time systems with exponential rate of convergence. In IEE proceedings - control theory applications (Vol. 143, pp. 217-224).
3. Avrachenkov, K. (1998). Iterative learning control based on quasi-Newton methods. In Proceedings of the 37th IEEE conference on decision and control, Tampa, FL, USA (pp. 170-174).
4. Belts J.T. Survey of numerical methods for trajectory optimization. Journal of Guidance, Control, and Dynamics 1998, 21(2):193-207.
5. Boyd S., Vandenberghe L. Convex optimization 2005, Cambridge University Press.
6. Bristow D.A., Tharayil M., Alleyne A.G. A survey of iterative learning control a learning-based method for high-performance tracking control. IEEE Control Systems Magazine 2006, 26(3):96-114.
7. Burden R.L., Faires J.D. Numerical analysis 2001, Brooks/Cole.
8. Dharne A.G., Jayasuriya S. Robust adaptive control of residual vibration in point-to-point motion of flexible bodies. Journal of Vibration and Control 2007, 13(7):951-968.
9. Dijkstra, B. G., Rambaratsingh, N. J., Scherer, C., Bosgra, O. H., Steinbuch, M., & Kerssemakers, S. (2000). Input design for optimal discrete time point-to-point motion of an industrial XY-positioning table. In Proceedings of the 39th IEEE conference on decision and control, Sydney, Australia (Vol. 1, pp. 901-906).
10. Ding H., Wu J. Point-to-point control for a high-acceleration positioning table via cascaded learning schemes. IEEE Transactions on Industrial Electronics 2007, 54(5):2735-2744.
11. Doyle, A. B. (1995). Algorithms and computational techniques for robot path planning. Ph.D. thesis, University of Wales, UK.
12. Du H., Hu M., Xie J., Ling S. Control of an electrostrictive actuator using Newton's method. Precision Engineering 2005, 29(3):375-380.
13. Freeman C.T., Cai Z., Rogers E., Lewin P.L. Iterative learning control for multiple point-to-point tracking application. IEEE Transactions on Control Systems Technology 2010, 99:1-11.
14. Freeman C.T., Hughes A.M., Burridge J.H., Chappell P.H., Lewin P.L., Rogers E. Iterative learning control of FES applied to the upper extremity for rehabilitation. Control Engineering Practice 2009, 17(3):368-381.
15. Freeman C.T., Lewin P.L., Rogers E. Experimental evaluation of iterative learning control algorithms for non-minimum phase plants. International Journal of Control 2005, 78(11):826-846.
16. Freeman C.T., Lewin P.L., Rogers E. Further results on the experimental evaluation of iterative learning control algorithms for non-minimum phase plants. International Journal of Control 2007, 80(4):569-582.
17. Grundelius, M., & Bernhardsson, B. (1999). Control of liquid slosh in an industrial packaging machine. In Proceedings of the IEEE international conference on control applications. Kohala Coast, Hawaii, USA (CD-ROM).
18. Heertjes M.F., van de Molengraft R.M.J.G. Set-point variation in learning schemes with applications to wafer scanners. Control Engineering Practice 2009, 17(3):345-356.
19. Heinzen A., Gillella P., Sun Z. Iterative learning control of a fully flexible valve actuation system for non-throttled engine load control. Control Engineering Practice 2011, 19(12):1490-1505.
20. Hladowski L., Galkowski K., Cai Z., Rogers E., Freeman C.T., Lewin P.L. Experimentally supported 2D systems based iterative learning control law design for error convergence and performance. Control Engineering Practice 2010, 18(4):339-348.
21. Hu M., Du H., Ling S., Zhou Z., Li Y. Motion control of an electrostrictive actuator. Mechatronics 2004, 14:153-161.
22. Kawamura, S., & Sakagami, N. (2002). Analysis on dynamics of underwater robot manipulators basing on iterative learning control and time-scale transformation. In Proceedings of the IEEE international conference on robotic automation (pp. 1088-1094). Washington, DC, USA.
23. Lin T., Owens D.H., Hätönen J.J. Newton method based iterative learning control for discrete non-linear systems. International Journal of Control 2006, 79(10):1263-1276.
24. Moore, K. L., & Mathews, A. (1997). Iterative learning control for systems with non-uniform trial length with applications to gas metal arc welding. In Proceedings of the 2nd Asian control conference (pp. CD-ROM). Seoul.
25. Ortega J.M., Rheinboldt W.C. Iterative solution of a nonlinear equation in several variables 1970, Academic Press, London.
26. Owens D.H., Hätönen J.J., Daley S. Robust monotone gradient-based discrete-time iterative learning control. International Journal of Robust and Nonlinear Control 2009, 19:634-661.
27. Park J., Chang P.H., Park H.S., Lee E. Design of learning input shaping technique for residual vibration suppression in an industrial robot. IEEE/ASME Transactions on Mechatronics 2006, 11(1):55-65.
28. Singh, T., & Singhose, W. (2002). Tutorial on input shaping/time delay control of maneuvering flexible structures. In Proceedings of the American control conference. Anchorage, AK, USA (pp. 1717-1731).
29. van de Wijdeven J., Bosgra O. Residual vibration suppression using Hankel iterative learning control. International Journal of Robust and Nonlinear Control 2008, 18:1034-1051.