Real-time Online Control of Electric Furnace Temperature Based on BP Neural Network PID

摘要

This paper introduces the actual method for adjusting the real-time PID parameters in PLC through the BP neural network PID algorithm in Matlab. Basing on OPC communication mode, the zinc refining electric furnace temperature BP neural network PID on-line control system is designed by combining Matlab algorithm process and industrial control process. In this way, the precision and real-time control of the electric furnace temperature will be improved, and production consumption and cost can be reduced effectively.