ARTIFICIAL INTELLIGENT CONTROLLER FOR BUCKBOOST CONVERTER
Abstract
The freely and abundantly available solar energy can be easily converted into electrical energy using Photo-Voltaic (PV) cells. PV source has the advantage of low maintenance cost, pollution-free energy conversion process and low operating cost. In the conventional method, MPPT is employed to track maximum voltage from the solar panel. Hill climbing or Perturb and Observe (P&O) MPPT algorithm which is used in the conventional method. The main drawback of P&O is at steady state condition the operating point oscillates around the Maximum Power Point (MPP), which increase the wastage of some amount of available energy and also the algorithm can be confused during those time intervals characterized by rapidly changing atmospheric conditions. In the proposed method, PV cell is used as a source and the energy from solar panel can be trapped effectively by using MPPT method which is aided with fuzzy logic controller. Mamdani membership function is used in fuzzy logic controller to get crisp output. Depending on voltage and current from the solar panel, the MPPT with fuzzy controller gives optimized duty cycle. The comparison of voltage-current inputs and temperature-irradiance inputs is also be made in this proposed work. This work is implemented in matlab using simulink. Simulation and experimental results have been presented to demonstrate the new features.
Author
T.Vimalkumar, R.Gowtham
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