Acceleration feedforward control in active magnetic bearing system subject to base motion by filtered-X LMS algorithm

IEEE Transactions on Control Systems Technology

Volumn 14, Issue 1, 2006, Pages 134-140

  Kang, Min Sig ^a   Yoon, Woo Hyun ^a  

^a Gachon University   (South Korea)

Author keywords

Acceleration feedforward compensator; Active magnetic bearing (AMB); Adaptive estimation; Base motion; Disturbance; Electromagnetic forces; Feedforward compensation; Filtered x least mean square (FXMLMS) algorithm; Least mean square method

Indexed keywords

ACCELERATION CONTROL; ALGORITHMS; ELECTROOPTICAL EFFECTS; ESTIMATION; MATHEMATICAL MODELS; SENSITIVITY ANALYSIS;

ACCELERATION FEEDFORWARD CONTROL; ACTIVE MAGNETIC BEARING (AMB); ADAPTIVE ESTIMATION; BASE MOTION; ELECTROMAGNETIC FORCES; FEEDFORWARD COMPENSATION; FILTERED-X LEAST MEAN SQUARE (FXMLMS) ALGORITHM; LEAST MEAN SQUARE METHOD;

MAGNETIC BEARINGS;

EID: 32944456216     PISSN: 10636536     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCST.2005.847337     Document Type: Article

References (13)

1. H. Habermann and G. Liard, "An active magnetic bearing system," Tribology International, vol. 13, no. 2, pp. 85-89, 1980.
2. M. Brunet, "Practical applications of active magnetic bearings to the industrial world," in Proc. 1st Int. Symp. Magnetic Bearings, Zurich, Switzerland, 1998, pp. 225-244.
3. M. O. T. Cole, P. S. Keogh, and C. R. Burrows, "Control and nonlinear compensation of a rotor/magnetic bearing system subject to base motion," in Proc. 6th Int. Symp. Magnetic Bearings, Cambridge, MA, 1998, pp. 618-627.
4. M. E. Kasarda, J. Clements, A. L. Wicks, C. D. Hall, and R. G. Kirk, "Effect of sinusoidal base motion on a magnetic bearing," in Proc. IEEE Int. Conf. Control Applications, 2000, pp. 144-149.
5. A. Jinzenji, T. Sasamoto, K. Aikawa, S. Yoshida, and K. Aruga, "Acceleration feedforward control against rotational disturbance in hard disk drives," IEEE Trans. Magn., vol. 37, no. 2, pp. 888-893, 2001.
6. Y. Suzuki, "Acceleration feedforward control for active magnetic bearing excited by ground motion," Inst. Elect. Eng. Proc. Control Theory Appl., vol. 145, no. 2, pp. 113-118, 1998.
7. M. Rupp and A. H. Sayed, "Robust FxLMS algorithms with improved convergence performance," IEEE Trans. Speech Audio Process., vol. 6, no. 1, 1998.
8. B.Widrow and S. D. Stearns, Adaptive Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1985.
9. S. M. Kuo and D. R. Morgan, Active Noise Control Systems. New York: Wiley, 1996.
10. M. T. White and M. Tomizuka, "Increased disturbance rejection in magnetic disk drives by acceleration feedforward control and parameter adaptation," Control Eng. Pract., vol. 5, no. 6, pp. 741-751, 1997.
11. S. Haykin, Adaptive Filter Theory. Englewood Cliffs, NJ: Prentice-Hall, 2002.
12. J. Reason and W. Ren, "Estimating the optimal adaptive gain for the LMS algorithm," in Proc. Conf. Decision Control (CDC), San Antonio, TX, 1993, pp. 1587-1588.
13. G. F. Franklin, J. D. Powell, and M. Workman, Digital Control of Dynamic Systems. Reading, MA: Addison-Wesley, 1998.