Decoupling control of electric heating furnace temperature based on DRNN neural network

For the electric heating coupling furnace problem, according to Jacobian information identification of DRNN neural network, the PID decoupling control method based on DRNN neural network setting is proposed for electrical heater furnace. And the electrical heater furnace time-varying system is simulated. Simulation results show that compared with the general PID decoupling control, the PID decoupling control based on DRNN neural network has good decoupling and self-learning control performance characteristics.