The use of soft computing for electronic and mechanical system surveillance and examination

Abstract

Soft computing has made great strides in recent years, giving cutting-edge methods for observing and managing intricate electronic and mechanical devices. For photovoltaic (PV) systems to maximize energy extraction, Maximum PowerPoint Tracking (MPPT) is essential. However, fluctuating environmental factors and system parameters might have an impact on the effectiveness of MPPT algorithms, resulting in less-than-ideal power generation. So, using soft computing approaches, this research suggests a unique fuzzy logic control and modified mayfly optimization (FLC-MMO) methodology for MPPT monitoring in PV systems. PV system imprecision and nonlinearity are handled by FLC, which offers an adaptable and flexible regulation. Additionally, MMO is used to optimize the FLC's parameters, enhancing its performance and accelerating convergence. MMO was motivated by the foraging behavior of mayflies. The outcomes of the experiments show how successful the suggested strategy is. The suggested MPPT surveillance system produces a greater energy extraction rate as compared to traditional MPPT methods.