The application on fuzzy neural control in boiler liquid level control system

摘要

For the character of nonlinear and the time-varying in industrial boiler liquid level control process, which has been difficult to meet the requirements of control precision of nonlinear system based on the conventional PID cascade control, the paper puts forward the boiler liquid level control based on fuzzy neural network. It aims to put the self-learning ability of neural network into fuzzy control, which does not need to establish specific mathematical model to achieve the level control. Through the MATLAB design and simulation of the boiler liquid level system, the results are compared with the conventional PID control and fuzzy PID control, then it shows that the method is effective.