International Journal of Engineering Sciences & Research Technology (IJESRT)
In this paper model reference adaptive based fuzzy controller is presented. Model reference adaptive controller is very common approach to control linear systems, as it is simple to apply. However, the performance of the linear model reference adaptive control weakens up when the system becomes nonlinear. In this paper, the MRAFC has fast learning features and it has good tracking results even when various changes are made in its system parameters. Model reference adaptive control here consists of a fuzzy based controller and a knowledge based modifier.