The Design of the Resistance-heated Furnace Control Based on BP Network PID Algorithm

摘要

The resistance-heated furnace control system has bigger lagging nature, so it is difficult to build accurate mathematic model BP neural network has the capability of expression nonlinearity and also has the self study and adaptive function. BP neural network control makes full use of neural network approximation capability, and with better control in resolving the highly nonlinear seriously uncertain systems. Simulated result indicates this control is able to make system reach satisfied control effect, so it has fairly good application value.