In this paper, MPPT control in PV systems is used by the FPI method
which is an intelligent method. Further, the use of a TLBC as an
interface converter instead of a conventional boost converter is
examined in the PV system and a new transfer function of TLBC in terms
of the mode of switching is verified. The main purpose of this paper is
to balance voltage capacitors of TLBC by an intelligent fuzzy method.
The rules of this controller are adjusted such that, in case of any
disturbance in daylight and solar radiation, it can adjust the duty
cycle TLBC, where voltage capacitors become well-adapted by being
combined with MPPT controller. The simulation results verify the good
performance of the proposed controller. Uncertainty parameters include
the surrounding temperature, solar radiation, and output electric
charge. The first two cannot be controlled by humans and may suddenly
change by atmospheric conditions, while the third may suddenly change by
the user and can be controlled by the proposed controller under any
conditions. A dramatic change in the resistance electric charge is
considered in this paper, where the voltage of capacitors does not have
any overshoot or fluctuation. The simulation results verify that the
capacitor voltage balance in the region is acceptable.