Control Study for Ash Recycling Systems Based on Compensatory Fuzzy Neural Network

To study the influence of the amount of return materials on bed temperature of related CFB boiler, a control model has been established for the return materials in ash recycling system based on compensatory fuzzy neural network (CFNN), with which a simulation study has been carried out by taking the temperature change and temperature variation rate as the input variables, and the return air flow as output variable. Comparison results between CFNN controller and coventional controller show that the adaptability of the former one to parameter change is obviously stronger than the latter one, which therefore may serve as a reference for control optimization of ash recyling systems.