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.

This study presents a fuzzy logic direct torque control for induction motor to be used in photovoltaic (PV) water pumping system. The system is intended to be less expensive and simple while maximizing PV array power utilization. For this purpose, a smart technology based on fuzzy logic controller (FLC) has been implemented to track the maximum power which has been successfully used in solar water pumping systems under different irradiance levels. Next, to alleviate the disadvantages of standard DTC, we chose fuzzy direct torque control (FDTC) for induction motors driving a centrifugal pump. Furthermore, this study includes the usage of IP with antiwindup and slide mode speed controller (SMC) instead of the traditional proportional-integral speed controller. Finally, the induction motor (IM) speed has been optimized with an optimum speed control in order to maximize the pump’s hydraulic parameters. The FDTC, with its SMC outperforms the photovoltaic pumping system (PVPS) in terms of dynamic performance and robustness. To develop a full simulation model of the proposed PVPS configuration under various climate conditions, MATLAB environment and associated Simulink are used.

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In the agricultural and industrial sectors, solar water pumping systems are gaining popularity due to their environmental friendliness and lack of fuel costs. Traditional electric water pumps are frequently unreliable, while diesel pumps have higher fuel costs. This study's primary aim is to present a comparative study between brushless direct current motor (BLDC) and induction motor (IM) in photovoltaic pumping systems (PVPS). The two most common motor types are examined. The suitability of these two motors types in photovoltaic pumping applications is assessed through simulation works. The mathematical models for the PV array, inverter/motors are developped, the controllers are presented. The Fuzzy Logic is implemented to track the maximum power under different irradiance. The effectiveness of the drive system for beginning and DC link voltage changes brought on by changing sun illumination is also investigated in the study. A full simulation model of the suggested PVPS configuration under data climate conditions of autumn and summer day irradiation (2016) is created using MATLAB Simulink. The BLDC with its electronic commutation due to its performances improve the PVPS by providing sufficient water amounts in an appropriate time with high efficiency compared to IM.

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