ANFIS controlled BLDC Motor Drive for Agricultural Application with Solar System

Srungarapati Keerthana; Katta Prasanna Latha

doi:10.62760/iteecs.3.3.2024.19

Authors

Srungarapati Keerthana Department of Electrical and Electronics Engineering, Universal College of Engineering and Technology, Guntur-522005, India https://orcid.org/0009-0003-5981-5642
Katta Prasanna Latha Department of Electrical and Electronics Engineering, Universal College of Engineering and Technology, Guntur-522005, India https://orcid.org/0009-0006-4164-455X

DOI:

https://doi.org/10.62760/iteecs.3.3.2024.19

Keywords:

Adaptive neuro fuzzy inference system, BLDC Motor, Power quality, PV system, DC/DC converter

Abstract

In India, it is of utmost significance to ensure that the agricultural fields receive supplies of water. Agricultural applications are the focus of this paper, which depicts the implementation of an advanced BLDC motor connected drive that is controlled by an adaptive neuro fuzzy inference system (ANFIS). In this work, the implementation of the bidirectional power flow among the load and the renewable energy source (RES) is carried out. In order to power the water pump, renewable energy sources (RES) are generated through the use of solar photovoltaic (PV) cells. Additionally, a BLDC motor load is connected to the water pump through a single phase bi-directional converter and a voltage source inverter (VSI) inside the design. The PV system is able to get the maximum amount of power while simultaneously lowering the main grid and enabling consumers to run their motors and loads at their maximum efficiency throughout the entire day. This is made possible by the integration of fusing into the solar generating framework. Using the suggested controller, the PV system is able to reduce conversion costs and total harmonic content of the grid, all while maintaining the power factor, good quality in power, and stability of the system.

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