A Digital Self-Tuning Tracking Controller for Permanent-Magnet Synchronous Motors

IEEE Transactions on Control Systems Technology

Volumn 2, Issue 4, 1994, Pages 412-422

  Shouse, Kenneth R ^a   Taylor, David G ^b  

^a SOUTHWEST RESEARCH INSTITUTE   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CONTROL EQUIPMENT; DISCRETE TIME CONTROL SYSTEMS; FEEDBACK; FOURIER TRANSFORMS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PIECEWISE LINEAR TECHNIQUES; SELF TUNING CONTROL SYSTEMS; SYNCHRONOUS MOTORS; TORQUE CONTROL; TRACKING (POSITION);

PERMANENT MAGNET SYNCHRONOUS MOTORS; VELOCITY TRAJECTORY TRACKING;

DIGITAL CONTROL SYSTEMS;

EID: 0028714183     PISSN: 10636536     EISSN: 15580865     Source Type: Journal    
DOI: 10.1109/87.338661     Document Type: Article

References (16)

1. A.J. Blauch, M. Bodson, and J. Chiasson, “high-speed parameter estimation of stepper motors,” IEEE Trans. Contr. Syst. Tech., vol. 1, no. 4, pp. 270–279, 1993.
2. M. Bodson, J.N. Chiasson, R.T. Novotnak, and R.B. Rekowski, “High performance nonlinear feedback control of a permanent-magnet stepper motor,” IEEE Trans. Contr. Syst. Tech., vol. 1, no. 1, pp. 5–14, 1993.
3. R.H. Brown, S.C. Schneider, and M.G. Mulligan, “Analysis of algorithms for velocity estimation from discrete position versus time data,” IEEE Trans, Ind. Electr., vol. 39, no. 1, pp. 11–19, 1992.
4. D. Chen and B. Paden, “Nonlinear adaptive torque ripple cancellation for step motors,” in Proc. 29th IEEE Conf. Dec. Contr., Honolulu, Hawaii, Dec. 1990, pp. 3319–3324.
5. D. Chen and B. Paden, “Adaptive linearization of hybrid step-motors: Stability analysis,” IEEE Trans. Automat. Contr., vol. 38, no. 6, pp. 874–887, 1993.
6. F. Esfandiari and H.K. Khalil, “On the robustness of sampled-data control to unmodeled high-frequency dynamics,” IEEE Trans. Automat. Contr., vol. 34, no. 8, pp. 900–903, 1989.
7. G.C. Goodwin and K.S. Sin, Adaptive Filtering, Prediction and Control. Englewood Cliffs, NJ: Prentice-Hall, 1984.
8. P.A. Ioamiou and A. Datta, “Robust adaptive control: A unified approach,” Proc. IEEE, vol. 79, no. 12, pp. 1736–1768, 1991.
9. P.V. Kokotovic, H.K. Khalil, and J. O'Reilly, Singular Perturbation Methods in Control: Analysis and Design. New York: Academic, 1986.
10. P. Krause, Analysis of Electric Machinery. New York: McGraw-Hill, 1986.
11. W. Leonhard, Control of Electrical Drives. New York: Springer-Verlag, 1985.
12. N. Sadegh and K.H. Guglielmo, “A new learning controller for mechanical manipulators,” J. Robotic Syst., vol. 8, no. 4, pp. 507–529, 1991.
13. R.B. Sepe and J.H. Lang, “realtime adaptive control of the permanent-magnet synchronous motor,” IEEE Trans. Indust. App., vol. 27, no. 4, pp. 706–714, 1991.
14. R.B. Sepe and J.H. Lang, “realtime observer-based (adaptive) control of a permanent-magnet synchronous motor without mechanical sensors,” IEEE Trans. Ind. App., vol. 28, no. 6, pp. 1345–1352, 1992.
15. K.R. Shouse, “Reduced-order block techniques for singularly perturbed systems with application to permanent-magnet synchronous motors,” Ph.D. dissertation, Georgia Institute of Tech., Atlanta, GA, Aug. 1993.
16. K.R. Shouse and D.G. Taylor, “Discrete-time observers for singularly perturbed systems: Part II, nonautonomous systems,” in Proc. 1993 Am. Contr. Conf., San Francisco, CA, June 1993, pp. 2616–2620.