The Control System of Multi-variable PID Neural Network and Its Application in Deaerator Water Level Control

The control system of multi-variable PID neural network is introduced.Its structure and learning algorithm are given;the methods of its parameter selection are explained;the characteristics of deaerator water level control system is analyzed.The simulation results prove that the control system has perfect decouple and self-learning control performance for multi-variable strong-coupled time-varying deaerator water level control system.