Title: A self-tuning fuzzy controller with union rule base for switched reluctance motor drives

Authors: Shun-Chung Wang, Yi-Hua Liu, Yih-Chien Chen, Chia-Cheng Lee

Addresses: Department of Electrical Engineering, Lunghwa University of Science and Technology, Rm. F415, No. 300, Sec. 1, Wan-Shou Rd., Guishan, Taoyuan County 333, Taiwan. ' Department of Electrical Engineering, National Taiwan University of Science and Technology, No. 43, Sec.4, Keelung Rd., Taipei 106, Taiwan. ' Department of Electrical Engineering, Lunghwa University of Science and Technology, No. 300, Sec. 1, Wan-Shou Rd., Guishan, Taoyuan County 333, Taiwan. ' Department of Electrical Engineering, Lunghwa University of Science and Technology, Rm. F107B, No. 300, Sec. 1, Wan-Shou Rd., Guishan, Taoyuan County 333, Taiwan

Abstract: This paper presents a modified self-tuning fuzzy controller with union rule base for application in the switched reluctance motor (SRM) drive system. Based on the redevelopment of control rule base, this paper aims to simplify the programme hierarchy and computational complexity of the controller by reducing the number of fuzzy sets in the membership function (MF) without losing the system performance and stability. With the error and change of error as the input variables, the output scaling factor (SF) of the proposed controller can be adjusted continuously via a gain updating factor, whose value is derived from the fuzzy logic reasoning. The controller is implemented based on the dSPACE DS1104 control desk. Experimental results show that the proposed controller is in good agreement with theoretical derivation. Comparisons with the conventional PI-like fuzzy controller (PIFC) demonstrate that the effectiveness of the devised control scheme outperforms its conventional counterpart.

Keywords: fuzzy logic controllers; FLC; scaling factor; switched reluctance motors; SRM; fuzzy control; self-tuning control.

DOI: 10.1504/IJPELEC.2011.037333

International Journal of Power Electronics, 2011 Vol.3 No.1, pp.42 - 64

Received: 25 Feb 2010
Accepted: 16 Mar 2010
Published online: 31 Jan 2015 *

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