Optimization of Photovoltaic Water Pumping System Based on BLDC Motor for Agricultural Irrigation with Different MPPT Methods

Abstract

This study presents a comparative analysis of different MPPT techniques for PV array fed water pumping system without batteries using brushless direct current (BLDC) Motor. The system is configured to reduce both cost and complexity with simultaneous assurance of optimum power utilization of PV array, for this we propose two intelligent maximum power point tracking MPPT techniques implemented through a boost converter; the first is based on Fuzzy Logic Controller (FLC) the second is a sliding mode control, which have been successfully applied to Photovoltaic Pumping System (PVPS) to replace tracking power point perturb and observe (P&O) under different conditions of solar radiation. As a result, the PV must be turned on at its highest power extracted. The water pumping system is designed to irrigate an area of 8 hectares, planted with onions, we have chosen a BLDC motor which is coupled with a centrifugal pump to overcome the disadvantage of brushed motors and induction motors. The object is to verify and confirm the effectiveness of the suggested system. According to simulation data, FLC improves the PVPS's performance.

Transient Analysis of the Fuzzy Logic-based Speed Control of a Three-phase BLDC Motor

“…The switches receive a variable duty cycle of the PWM signal. The control regulates the chopping of the provided voltage to the motor thereby controlling the motor speed [20].…”

Brushless Direct Current Motor versus Induction Motor in Photovoltaic Pumping Application: A Comparative Study

“…Where the FLC rules are defined as BN, SN, SP, BP and EZ are respectively Big Negative, Small Negative; Small Positive, Big Positive and Zero. [24] )…”