Optimization Control System for Desulfurization Based on RBF Neural Network
In response to the shortcomings of hysteresis and instability in the desulfurization island system of thermal power plants,the improvement of the original system PID control cannot meet the requirements of nonlinear system control.Combining the advantages of RBF neural network algorithm,an application of a control system based on RBF neural network desulfurization optimization is proposed.By dividing the operating conditions of the unit,analyzing important data,and optimizing the pH target program,valuable data can be deeply excavated from historical data to find target values and operating parameters that are similar to the current real-time operating conditions.This can provide guiding suggestions for optimizing the operation of the desulfurization island and ultimately achieve energy conservation and consumption reduction.
万方数据
维普
