In this paper, an online tuned set-point regulator with a fuzzy mechanism is proposed. This proposed control structure exploits the advantages of one degree of freedom (1-DOF) and two degree of freedom (2-DOF) control forms. The blending mechanism of the set point regulator mix the filtered and pure reference signals so that the overall performance of the system is ameliorated with respect to load disturbance rejection and set-point following. In the proposed control structure, the PI controller is designed by using Internal Model Control (IMC) methodology. As a result of this chose, the proposed blending mechanism turns out to be a blending constant within the range of zero and one. Consequently, this blending constant can easily be tuned through a fuzzy inference mechanism, where the output signal is naturally the blending constant. First, the effectiveness of the proposed fuzzy adaptive set-point regulator is demonstrated and compared via simulations and then an experimental setup is design to show the applicability of the proposed control approach. The simulation and the experimental results show the benefit of the proposed method over the conventional counterparts.