Development of Intelligent Monitoring and Control System for Electrostatic Precipitators in Cement Plants

Abstract

Cement plants are crucial industrial entities that supply cement for various applications, including the construction of buildings and bridges. While these plants play a vital role in infrastructure development, they are also recognized as significant sources of environmental pollution. To mitigate air pollution, Electrostatic Precipitators (ESPs) are employed, capable of reducing air pollution by approximately 99.99%. Consequently, ESPs warrant in-depth study, and development. This project focuses on investigating, and developing a monitoring, and control system for ESPs utilizing intelligent devices. The initial step involved deriving a mathematical model based on input/output data from the critical unit, the transformer/rectifier (T/R set). The Grey Wolf Optimization algorithm was employed to determine the optimal parameters (Kp=988, Ki=37.7, Kd=88.5) for the PID controller using the MATLAB package.