| In this paper, the control system of industrial boiler widely used in industrial production was studied. Aiming at the nonlinear object of industrial boiler with instability parameter and difficult building math model, combining fuzzy control theory and neural networks theory, a adaptive controller built with compensatory fuzzy neural networks to control industrial boiler is proposed. Through the introduction of compensatory fuzzy inference and quick arithmetic, the property of compensatory fuzzy neural networks is superior to that of common fuzzy neutral networks. Simulation was also performed to study the controller's property by Matlab software.
|
PDF Full Text Request