Robust adaptive system identification of steam separator process in thermal power plants

Industrial practice imposes the problem of measuring physical quantities in terms of quality, which is the primary requirement of process control with good performance, and further processing of data in terms of application of algorithms to detect and isolate failures. In order to overcome the phenomenon of outliers, which is common in industrial practice, it is necessary to apply some of the techniques of robust identification. This paper presents a new approach to robustadaptive identification which was used to identify the parameters of steam separator. It would be possible to apply techniques for the failure detection and isolation based on the model of the process, as well as in terms of better process control. The comparison with the classical approach was carried out and demonstrated the efficacy proposed algorithm.