Piezo-Actuated Micro-Drilling Process Control by Using an Adaptive Sliding Controller with Fuzzy Compensation

Article Preview

Abstract:

A model-free adaptive sliding controller with fuzzy compensation is proposed for a piezo-actuated micro-drilling process control in this paper. Due to the system’s nonlinear and time-varying characteristics, this control strategy employs the functional approximation technique to establish the unknown function for releasing the model-based requirement of the sliding mode control. In addition, a fuzzy scheme with online learning ability is augmented to compensate for the finite approximation error and facilitate the controller design. The important advantages of this approach are to achieve the sliding mode controller design without the system dynamic model requirement and release the trial-and-error work of selecting approximation function. The Lyapunov direct method is applied to find adaptive laws for updating coefficients in the approximating series and tuning parameter in the fuzzy compensator to guarantee the control system stability.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1899-1903

Citation:

Online since:

January 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Y. Sheng and M. Tomizuka: J. Dyn. Syst. Meas. Control-Trans. ASME Vol. 128 (2006), p.846.

Google Scholar

[2] R.E. Haber-Guerra, R. Haber-Haber, D.M. Andres and A. A. Palomar: J. Manuf. Sci. Eng. -Trans. ASME Vol. 130 (2008), pp.031009-1.

Google Scholar

[3] S. Bashash and N. Jalili: IEEE Trans. Control Syst. Technol. Vol. 15 (2007), p.867.

Google Scholar

[4] H.C. Liaw, B. Shirinzadeh and J. Smith: Mechatronics Vol. 18 (2008), p.111.

Google Scholar

[5] R.F. Fung and W.C. Lin: IEEE Trans. Control Syst. Technol. Vol. 18 (2010), p.22.

Google Scholar

[6] A.C. Huang and Y.S. Kuo: Int. J. Control Vol. 74 (1999), p.252.

Google Scholar

[7] H.Y. Chen and S.J. Huang: Int. J. Syst. Sci. Vol. 39 (2008), p.57.

Google Scholar