Parameter Identification of Steam Turbine Governing System Based on Correlation Analysis

Parameter identification is an important method for realizing self-adaptive control and condition monitor as well as fault diagnosis of steam turbine governing system. In this paper, the theory of correlation analysis is introduced and is used for parameter identification of steam turbine governing system. Digital simulation results demonstrate that the time constants and parameters of the governing system can be accurately obtained by the parameter identification method with the correlation analysis.