DocumentCode
2485764
Title
Fuzzy gain scheduled PI speed controller for switched reluctance motor drive
Author
Panda, S.K. ; Zhu, X.M. ; Dash, P.K.
Author_Institution
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
Volume
3
fYear
1997
fDate
9-14 Nov 1997
Firstpage
989
Abstract
In this paper, the authors present the performance of a fuzzy gain scheduled PI controller as applied to a switched reluctance motor (SRM) for speed control applications. The SRM´s usefulness as servo has been limited due to its strong nonlinear electromechanical characteristics which result in significant torque and hence speed ripples. It has been shown that a conventional fixed gain PI controller is not able to meet the stringent requirements of servomotor drive systems, such as minimum overshoots and almost no oscillations during speed transitions. This paper describes the development of a fuzzy gain scheduling scheme for a PI speed controller for SRM motor drives. Fuzzy rules and reasoning are utilized to determine the controller gains online based on the error signal and its first derivative. Hardware implementation of the proposed controller has been achieved using TI´s TMS320C50 DSP. Experimental results obtained for the speed control of SRMs show improvements over conventional fixed gain PI controllers
Keywords
control system synthesis; fuzzy control; machine control; machine testing; machine theory; reluctance motor drives; servomotors; two-term control; variable speed drives; velocity control; TMS320C50 DSP; control design; control simulation; fuzzy gain scheduled PI speed control; nonlinear electromechanical characteristics; oscillation; overshoot; servomotor drive systems; speed ripple; speed transitions; switched reluctance motor drive; torque ripple; Control systems; Fuzzy control; Motor drives; Performance gain; Reluctance machines; Reluctance motors; Servomechanisms; Servomotors; Torque; Velocity control;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, Control and Instrumentation, 1997. IECON 97. 23rd International Conference on
Conference_Location
New Orleans, LA
Print_ISBN
0-7803-3932-0
Type
conf
DOI
10.1109/IECON.1997.668410
Filename
668410
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