Study on Application of Interval Type 2 Fuzzy Logic Control for Gap Width Controller Used in EDM Machine

Abstract:

This paper presents a new method for controlling the gap distance in an EDM machine. Existing gap width control method using PI controller does not perform efficiently in a highly nonlinear and time-variant process such as EDM. In this method, constant tuning of the PI controller is required to achieve a stable and efficient EDM process. The new gap control method present in this paper uses an artificial intelligent type 2 fuzzy logic control to control the gap distance between the electrode and the workpiece. The main advantage of this proposed method is its robustness that would rid the practitioners from the tedious tuning job and would provide the industry with better accuracy and confidence in the control performance.

• Periodical: Applied Mechanics and Materials (Volumes 365-366)
• Pages: 863-869
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.365-366.863
• Online since: August 2013
• Authors: Kotler Ter Pey Tee, Reza Hosseinnezhad, Milan Brandt, John Mo
• Keywords: Electrical Discharge Machining (EDM), Gap Control, Interval Type 2 Fuzzy Logic Control, Spark Erosion

References

[1] M. Fujiki, G. -Y. Kim, J. Ni, and A. J. Shih, Gap control for near-dry EDM milling with lead angle, International Journal of Machine Tools and Manufacture, vol. 51, pp.77-83, 1/ (2011).

DOI: 10.1016/j.ijmachtools.2010.09.002

[2] C. -C. Kao and A. J. Shih, Design and tuning of a fuzzy logic controller for micro-hole electrical discharge machining, Journal of Manufacturing Processes, vol. 10, (2008).

DOI: 10.1016/j.jmapro.2009.03.001

[3] W. Dongrui, On the Fundamental Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers, Fuzzy Systems, IEEE Transactions on, vol. 20, pp.832-848, (2012).

DOI: 10.1109/tfuzz.2012.2186818

[4] O. Linda and M. Manic, Uncertainty-Robust Design of Interval Type-2 Fuzzy Logic Controller for Delta Parallel Robot, Industrial Informatics, IEEE Transactions on, vol. 7, pp.661-670, (2011).

DOI: 10.1109/tii.2011.2166786

[5] L. A. Zadeh, The concept of a linguistic variable and its application to approximate reasoning-III, Information Sciences, vol. 9, pp.43-80, / (1975).

DOI: 10.1016/0020-0255(75)90017-1

[6] N. N. Karnik and J. M. Mendel, Type-2 fuzzy logic systems: type-reduction, in IEEE International Conference on Systems, Man, and Cybernetics, 1998 San Diego, CA, 1998, pp.2046-2051 vol. 2.

DOI: 10.1109/icsmc.1998.728199

[7] W. Hongwei and J. M. Mendel, Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems, Fuzzy Systems, IEEE Transactions on, vol. 10, pp.622-639, (2002).

DOI: 10.1109/tfuzz.2002.803496