An Adaptive Random-Period Interpolator for Stepping Motor Systems

Article Preview

Abstract:

In motion control systems driven by stepping motors, reference word interpolation is usually used with a constant period, which inevitably results in vibration caused by quantization errors and interpolation spare. An interpolator with adaptive random-period is proposed: with the adaptive random-period interpolator, the high-frequency energy excitation from stepping motor driving signals can be greatly dispersed and the desired trajectory and feed profile can be realized through the mutual restriction between the velocity and the displacement. Simulation results show that the adaptive random-period interpolator can effectively improve the velocity excitation, resonant excitation and motion accuracy.

You might also be interested in these eBooks

Info:

Periodical:

Key Engineering Materials (Volumes 431-432)

Pages:

495-498

Citation:

Online since:

March 2010

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2010 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] G.Y. Wang, R.X. Zhang and et al.: Manufacturing Technology & Machine Tool, Vol. 3 (2000), p.37. (In Chinese).

Google Scholar

[2] Q. Shi and X.C. Wang: Electric Drive, Vol. 35 (3) (2005), p.30. (In Chinese).

Google Scholar

[3] K. Zhou: PC-based Numerical Control Principle, System and Applications (China Machine Press, China 2006).

Google Scholar

[4] X.G. Guo: Research on High Accuracy Interpolation Strategy for High-Speed-Cutting (Ph.D. Shanghai Jiao Tong University, 2002).

Google Scholar

[5] P.Q. Ye and S.L. Zhao: China Mechanical Engineering, Vol. 15 (15) (2004), p.1354. (In Chinese).

Google Scholar

[6] Y.D. Chen, T.M. Wang and et. al: China Mechanical Engineering, Vol. 17 (15) (2006), p.1600. (In Chinese).

Google Scholar

[7] D. Seidner and M. Feder: IEEE Transactions on Signal Processing, Vol. 48 (1) (2000), p.275.

Google Scholar

[8] V. Raman and B. Yoram: IEEE Transactions on Signal Processing, Vol. 49(10) (2001), p.2301.

Google Scholar

[9] A.M. Wang, S. Wang and M.X. Chen: Signal Processing, Vol. 21(3) (2005).

Google Scholar