Implementation And Analysis For Simulation Of Main Steam Temperature Control

The main steam temperature is one of animportant factor for a normal thermal electric generation. This paper presents the PID neural networks to solve the problem that PID cascade control has a fixed regulating parameters and an unfavourable control effect. This method Improve the PID control by combining PID control law with neural network. The test showed that the simulation results based on PID neural networks can be used for the design the main team temperature system with the higher fastness and accuracy and robustness of control.