Parameter Optimization Of Active Disturbance Rejection Control And Its Application

With the continuous improvement of the capacity of large-scale thermal power generating units,the control effect of thermal control systems in units needs to be continuously improved.As a new type of control technology,Active Disturbance Rejection Control(ADRC)has strong anti-disturbance and robustness,and has better adaptability and control effects than conventional controllers.Therefore,the application of ADRC to the complex thermal control system of thermal power units has important practical significance for the safe operation of power units and the stability of power system.In this paper,aiming at the problems of many ADRC parameters and setting complex,an improved artificial ant colony optimization algorithm is proposed,which is applied to the parameter optimization of ADRC.Firstly,the superheated steam temperature thermal system under different loads of supercritical simulation unit is taken as the research object,and artificial ant colony algorithm is used to model the controlled object.Then active disturbance rejection control is applied to superheated steam temperature system.The artificial ant colony algorithm is used to set and optimize the controller parameters.In the Matlab simulation platform,compared with the traditional PID controller,the experiment of set value,anti-jamming experiment and robust experiment are compared,which proves the excellent control effect and better adaptability of ADRC controller.Finally,the simulation support system developed by North China Electric Power University completes the compilation and introduction of the ADRC control module,and introduces the controller parameters into the algorithm.The experiment of active disturbance rejection control in supercritical DCS thermal superheated steam temperature system is completed.The results verify the feasibility and superiority of ADRC and show that ADRC has a certain application prospect in thermal power plant control system.