Fuzzy Controller-Based Grid Interfaced Solar Water Pump Using SRM

The goal of this research is to develop a PV control system-based switching reluctance motor-based standalone solar water pumping system. Due to their practicality, which has its own precedent, photovoltaic systems are significant as ecologically beneficial energy sources. However, there are some challenges to take into account. The most practical and successful solution is to automatically monitor the sun. Solar radiation and the surrounding environment have an impact on the voltage, current, and power characteristics of PV modules, which in turn dictate their performance. A controller is therefore necessary to minimise impact and maximise the output of a PV array. For surveillance, a variety of fuzzy inference techniques are used, and the current system for obtaining water using photovoltaic panels has drawn a lot of interest. In the current issue, a switching reluctance motor is used with the utility grid. SRM has a considerable advantage over the majority of other engines. The popularity of matrix systems is rising as a result of their dependability, accuracy, and toughness. Due to the tremendous advancements in solar technology, a straightforward control system and design for a PV-powered switched reluctance engine for cranking workloads were created using MATLAB modelling.