A New Func-Pso Controller For Optimal Conversion Of Noise Pollution Into Electricity

Abstract

This paper presents the development of a new controller for the optimal conversion of noise pollution into electricity. The process of converting the noise pollution to electricity is quite challenging because more noise, uncontrolled pressure, and more voltage deviation have been obtained. In order to overcome such issues, an objective function has been developed by considering all constraint parameters like noise, pressure, and voltage. Further, the objective function has been controlled by particle swarm optimization (PSO). By doing this, the proposed method has been given the name FUNC-PSO controller. It is observed that the least noise, least voltage deviation, and optimal sound pressure have been attained with the proposed FUNC-PSO controller in comparison to the existing controller for the smooth conversion of noise pollution to electricity. The overall work has been validated on the experimental setup.