Micro-drilling process control by using adaptive sliding controller
Abstract
Purpose
Recently, the micro-positioning technology has become more important for achieving the requirement of precision machinery. The piezo-actuator plays a very important role in this application area. A model-free adaptive sliding controller with fuzzy compensation is proposed for a piezo-actuated micro-drilling process control in this paper. The paper aims to discuss these issues.
Design/methodology/approach
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.
Findings
The Lyapunov direct method can be 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. With the addition adaptive fuzzy compensator, as less as five Fourier series functions can be used to approximate the nonlinear time-varying function for designing a sliding mode controller for micro-drilling process control.
Originality/value
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.
Keywords
Acknowledgements
The author is grateful to the National Science Council, Taiwan, for financially supporting this work under Contract No. NSC 98-2221-E-131-015.
Citation
Chen, H.-Y. (2014), "Micro-drilling process control by using adaptive sliding controller", Engineering Computations, Vol. 31 No. 2, pp. 201-215. https://doi.org/10.1108/EC-01-2013-0011
Publisher
:Emerald Group Publishing Limited
Copyright © 2014, Emerald Group Publishing Limited