The Research Of Main Steam Temperature Control System Based On Genetic Algorithm-BP Neural Network

In thermal power plant, it is very strict to the control of main steamtemperature. But because the main steam temperature object is a typical big delays, big inertia, complex nonlinear systems of variety model with varity time, it has some shortcoming to using classic control theory to control the main stream.This article base on the existing PID control, proposed uses PID control strategy which the genetic algorithm and the BP neural network unified. This strategy uses based on the genetic algorithm-BP neural network, establishes the parameter self-study PID control system, thus realizes to the main steam temperature effective control.This article carried on the analysis to advantages and shortcoming the BP neural network and the genetic algorithm, then this article combines BP neural network and genetic algorithms to full advantages of both which makes new algorithms having BP neural network learning capability and robustness...