Neural Network Adaptive Control Of Nonlinear System And Application In Boiler Control

Based on adaptive control skill,the adaptive control method of neural network is proposed for a class of uncertain nonlinear system.To solve the problem of industrial process control,based on neural network model,algorithm,and other control method,neural network can be used to the industrial control.Research the triangle structure of the with control death MIMO adaptive control problem of uncertain nonlinear systems,which leads to the neural network adaptive control technology,application of neural network approximation for nonlinear system,combined with triangle structure iterative control system designed backstepping method,and analyzes the properties of Nussbaum function,neural network adaptive controller was designed,and verified by Lyapunov stability theory and uniformly asymptotic closed-loop system were bounded stability,through a numerical example simulation is given to illustrate the effectiveness of the control algorithm is used.The boiler drum level control system is designed,through the level measurement requirements and the selection of flow meter on the boiler liquid level control system to carry on the design,the method of neural network adaptive control is applied to the boiler liquid level control of liquid level control,constructed based on adaptive neural network control algorithm of the liquid level control system.