Analysis of Speed Control in DC Motor Drive Based on Model Reference Adaptive Control

This paper presents fuzzy and conventional performance of model reference adaptive control(MRAC) to control a DC drive. The aims of this work are achieving better match of motor speed with reference speed, decrease of noises under load changes and disturbances, and increase of system stability. The operation of nonadaptive control and the model reference of fuzzy and conventional adaptive control are studied for derive and adjustment of DC motor speed, and then are compared with each other. The model reference and fuzzy controller are designed based on improving of the whole system stability. Simulations are are carried out by Matlab-Simulink and under constant and variable loads conditions. Simulation results demonstrate that, the adaptive control is highly better performance, in compare with non-adaptive control, and also fuzzy adaptive control is more satisfactory than conventional adaptive control.