Parameter Identification And Controller Optimization In Thermal Power Engineering System Based On Bionic Algorithm

It is resulted by the further research of intelligent control theory and its application in the control field that bionic algorithm is put into use in parameter identification. There are many different between CFBB and classic boiler. Therefore, the establishment of the dynamic characteristics function of CFBB provides preconditions for designing a satisfactory controller. In this paper, the structure, performance, characteristic and improving strategy of Genetic Algorithm and Ant Colony Algorithm are discussed respectively. Through conducting experiments in spot on 450t/h CFBB, a great deal of data is collected, on the basis of putting the data in order an gain the object transform function by bionic algorithms method, the problem of controller parameter optimization is completed, the plant model and controller parameter is valuable.