This paper deals with the conventional model reference adaptive control
(MRAC) and replaces conventional control technique such as PI control with
model reference adaptive control scheme with fuzzy linear adaptation.
The Model Reference Adaptive Control (MRAC) speed control systems do not
achieve consistent satisfactory performance over wide range of speed
demand, especially at low speed and there is no defined rule to guide
designers to choose the adaptation gains.
The fuzzy logic model reference adaptive control maintains satisfactory
response irrespective of the magnitude of the inputs. It enhances the
performance of the DC drive compared to conventional MRAC.
The performance of the drive system, thus obtained, is forming a set of test
conditions with model reference fuzzy adaptive control. The performance of
the drive is tested for load disturbances along with reference model. This
work also compares the performance of Model Reference Fuzzy Adaptive
scheme over conventional MRAC
Index Terms — DC motor, Fuzzy Logic, Speed Control, Model Reference
adaptive control
