Abstract
In this work, a Fuzzy Model Reference Adaptive Controller FMRAC is presented for the
speed control problem of a DC motor. The proposed controller is designed in two phases. In the
first phase, the model reference input-output data is used to obtain the fuzzy rules. Then the
effective rules are chosen to be used in the second phase. In the second phase, the obtained
controller is applied in two conditions; the non fuzzy rules or adjusting the center of output
membership functions. The simulation results shows a good speed motor tracking to the model
reference in the word of the step response coefficients
speed control problem of a DC motor. The proposed controller is designed in two phases. In the
first phase, the model reference input-output data is used to obtain the fuzzy rules. Then the
effective rules are chosen to be used in the second phase. In the second phase, the obtained
controller is applied in two conditions; the non fuzzy rules or adjusting the center of output
membership functions. The simulation results shows a good speed motor tracking to the model
reference in the word of the step response coefficients
Keywords
DC motor
fuzzy logic
model reference adaptive controller