Applying Fuzzy Control Based on Model Reference Adaptive Control for Speed Adjustment and DC Motor Drive

This paper presents Model Reference Adaptive Control (MRAC) and the Fuzzy (MRFAC) and conventional performance of it. The aims of this work are increase in correspondence of motor speed with defined reference model speed of the system, decrease of noises under load changes and disturbances and increase of system stability. Thus, model reference adaptive control is applied instead of non-adaptive or conventional control, and also fuzzy controller is used in place of classic controllers like PI.The operation of non-adaptive 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 securing of the entire system stability. Simulation is done with constant and variable loads, and the obtained results demonstrate that, the adaptive control is highly favorite, in compare with non-adaptive control, and also fuzzy adaptive control is more satisfactory than conventional adaptive control. The simulations are carried out by using MATLAB-SIMULINK.

Keywords:

Speed Adjustment , Model Reference Adaptive Control , PI Controller , Fuzzy Logic Controller , DC Motor