Application Of Improved Active Disturbance Rejection Controller In Boiler Steam Temperature Control System

The main steam temperature is an important parameter of a thermal power boiler,whose stability is related to the economic and reliable operation of the generating units.Because the boiler steam temperature object has many characteristics of large delay,uncertainty and interference factors,especially in gas-fired power boilers in steel plant with great fuel fluctuations and uncontrolled flow,traditional PID control algorithm cannot meet the actual contral need without manual intervention.Therefore,it is of great significance to design a control algorithm with simple structure,easy implementation and stronger anti-interference and robustness for the safe and stable operation of generating units.This thesis studies the realization process and control mechanism of the active disturbance rejection control(ADRC)technology for the F3#150t gas-fired power boiler.Aiming at the problem that the tunable parameters are multiple and difficult to adjust,a single neuron improved LADRC method based on RBF neural network online identification is proposed combined with the linear active disturbance rejection control(LADRC)theory.Firstly,the paper thoroughly analyzes the superheated steam temperature control system of gas power boiler considering various influencing factors,and then uses the least squares method to identify the MISO models of the superconducting zone and the inert zone of superheated steam.Next,the simulation model of Jacobian matrix is online identified by the RBF neural network identifier to achieve online optimization of control quantity weighting coefficients by using the single neuron linear auto disturbance rejection controller.The simulation results demonstrate that the single-neuron LADRC has the least controller parameters and obtains better control performance compared with the ADRC controller.Finally,the control algorithm is applied to the intelligent optimization control system of the power generation boiler site to realize the adjustment of the main steam temperature.The results show that compared with the feedforward PID control system,the improved LADRC of single neuron not only further reduces the main temperature fluctuation range,but improves the dynamic control quality of the main air temperature parameter,and shortens the system adjustment time.