This paper present an adaptation mechanism for
fuzzy logic controller FLC in order to perfect the response
performance against small rotation angles of real D.C. motor
with unknown parameters. A supervisor fuzzy controller SFC is
designed to continuously adjust, on-line, the universe of
discourse UOD of the basic fuzzy controller BFC input variables
based on position error and change of position error.
Performance of the proposed adaptive fuzzy controller is
compared with corresponding conventional FLC in terms of
several performance measures such rise time, settling time, peak
overshoot, and steady state error. The system design and
implementation are carried out using LabVIEW 2009 with NI
PCI-6251 data acquisition DAQ card. The practical results
demonstrate using self tuning FLC scheme grant a better
performance as compared with conventional FLC which is
incapable of rotating a motor if the rotation angle is being small
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