Iterative reference adjustment for high precision and repetitive motion control applications

IEEE International Symposium on Intelligent Control - Proceedings

Volumn , Issue , 2002, Pages 131-136

  Tan, K K ^a   Zhao, S ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Iterative learning control; Permanent magnet linear motors; Precision motion control; Radial basis function (RBF) neural network; Tracking convergence

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; ERROR ANALYSIS; ITERATIVE METHODS; LEARNING SYSTEMS; LINEAR MOTORS; MOTION CONTROL; PERMANENT MAGNETS; RADIAL BASIS FUNCTION NETWORKS; ROBOTICS; THREE TERM CONTROL SYSTEMS;

ITERATIVE LEARNING CONTROL SCHEME; PERMANENT MAGNET LINEAR MOTORS; PRECISION MOTION CONTROL; TRACKING CONVERGENCE;

INTELLIGENT CONTROL;

EID: 0036916425     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Tan, K.K., T.H. Lee, H.F. Dou and S. Huang, Precision Motion Control Design and Implementation, Chapter 2 Precision Tracking Motion Control, Springer, Advances in Industrial Control, 2001.
2. T. Li, G. Slemon, "Reduction of cogging torque in permanent magnet motors", IEEE trans. Magn., vol.24, no.6, pp.2901-2903, 1988.
3. C.Studer, A.Keyhani, T.Sebastian and S.K.Murthy, "Study of cogging torque in permanent magnet machines", Proc. Rec. IEEE IAS Annu. Meeting, New Orleans, LA, October, pp.42-49, 1997.
4. J.Holz and L. Springob, "Identification and compensation of torque ripple in high-precision permanent magnet motor drives", IEEE trans. Ind. Electron., vol.43, pp.309-320, Apr. 1996.
5. Otten,G., J.A.de Vries, J.van Amerongen, A.M.Rankers and E.W.Gaal, "Linear motor motion control using a learning forward controller", IEEE trans. on Mechatronics, vol.2, no.3, pp.179-187, 1997.
6. Holcomb,T., and Morari,M., "Local training of radial basis function networks: Towards solving the hidden unit problem", Proc. of the American Control Conference, pp.2331-2336, 1991.
7. FabriS. and Kadirkamanathan,V., "Dynamic structure neural networks for stable adaptive control of nonlinear systems", IEEE Trans. on Neural Networks, vol.7, no.5, pp.1151-1167, 1996.
8. Tan,K.K., Lim,S.Y. and Huang,S.N., "Two-Degree-of-Freedom controller incorporating RBF adaptation for precision motion control applications", IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM'99), USA, pp848-853, 1999.
9. Arimoto,S., Kawamura,S. and F.Miyazaki, "Bettering operation of robots by learning", J. Robotic Systems, vol.1, pp123-140, 1984.
10. Moore, K., Iterative Learning Control For Deterministic Systems, Springer-Verlag, Advances in Industrial Control, 1993.
11. Lee, T.H., K.K. Tan, S.Y. Lim, and H.F. Dou, "Iterative learning control of permanent magnet linear motor with relay automatic tuning", Mechatronics, vol.10, pp169-190, 2000.
12. Longman, R.W., "Iterative learning and repetitive control for engineering practice", International Journal of Control, vol.73, no.10, pp.930-954, 2000.
13. Xiao, J., Q. Song, D. Wang, "A learning control scheme based on neural networks for repeatable robot trajectory tracking", Proc. of the 1999 IEEE International Symposium on Intelligent Control/Intelligent Systems and Semiotics, pp.102-107, 1999.
14. Moore, K., "Iterative learning for trajectory control", Proc. of the 28th Conference on Decision and Control, pp.860-865, 1989.