Artificial Intelligence Based BLDC Motor-Driven Solar PV Fed Water Pumping System

Artificial Intelligence Based BLDC Motor-Driven Solar PV Fed Water Pumping System

Gudala  Satya Pratap1     Dr Midhunchakkaravarthy2

Research Scholar, Lincoln University College, Malaysia1

gspratap.phdscholar@lincoln.edu.my

Dean, Faculty of Computer Science and Multimedia2

Lincoln University College, Malaysia

midhun@lincoln.edu.my

Abstract-

The best alternative to the conventional sources of energy is ever lasting solar energy and it is one among the cheapest and widely used energy. The  present paper deals with the design and analysis of zeta converters, as it has been used as intermediate between voltage source inverter (VSI) and solar PV array. Maximum power point tracking (MPPT) technique has been used for gaining maximum efficiency from solar PV array. In this paper, Artificial Intelligence(AI) Technique based  Fuzzy logic controller is used for better results. When compared to other methods of MPPT technique, Fuzzy logic based MPPT technique is best because it provides better results for randomly varying atmospheric conditions.  In our proposed system, BLDC motor which has higher efficiency and noise less operation is considered. Maximum power loss of PV generator is well matched with the load characteristic of BLDC motor. Matlab/Simulink   results carried out for the different topology of the DC-DC converters and the results are analyzed and compared.

Keywords: Photovoltaic(PV) system, Maximum power point tracking (MPPT), Artificial Intelligence (AI) Technique,  Fuzzy logic controller, BLDC motor, zeta converters.