PV installations and systems running under variable irradiation and temperature, produce a variance in its output voltage, resulting in control challenges. The constant output voltage from such systems despite the variations in the produced voltage and load is maintained by employing a DC converter. This paper presents the design of a maximum power point tracking (MPPT) on DC converter controller for a system. Fractional Order Proportional-Integral-Derivative (FOPID) and Proportional-Integral-Derivative (PID) controllers have been implemented to the system converter as a proposed control approach. Particle Swarm Optimization (PSO) is used as optimization technique for determining the optimal parameters of (FOPID & PID) controllers for tracking the output voltage from trained Adaptive Neuro Fuzzy Inference System (ANFIS) that is corresponding to maximum power generated from (PV) module. The PV system with the dynamic load is modeled and simulated by using the MATLAB/Simulink environment. The system performance is displayed in the form of a family of curves under different operating conditions.