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