Application and simulation of neural nets in combustion system of circulating fluidized bed boiler

Abstract

The combustion control of circulating fluidized bed boiler (CFBB) is an important but difficult link of its control system. An algorithm is introduced here, in which parameters of the PID controller are optimized online by BP neural networks and the programming steps are described. The mathematical models of combustion system of CFBB are analyzed. And both the simulation of conventional PID and BP-PID control algorithm are carried out in the combustion system of CFBB, it proved that this algorithm is valid and feasible.