PID Decoupling Control Based on the DRNN

Abstract

In this paper presents structures and algorithm of PID decoupling control based on Diagonal Recurrent Neural Network (DRNN), and uses the algorithm to decouple and control for the multi-variable electric furnace system which is a strong coupling and delay system. The simulation results show that PID decoupling control algorithm based on DRNN has good static and dynamic performance. The real-time curves indicate the controller has improved definition greatly and has better robustness.