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Phung

 M.Sc.E.E. Van Trang Pung

 "Identifikation des Produktionszyklus eines Antriebs zum Zwecke der optimalen Regelung und der Diagnose von mechanischen Fehlern“

A frequent requirement for self-commissioning of electrically powered industrial drives is the permanently updated quantitative information about the mechanical system parameters. An accurate description of the mechanical part and the prediction of the dynamic behaviour of the system are also essential for condition monitoring and diagnosis of the drives. For this effect, different methods for the identification of two-mass-systems have been experimentally investigated. One general technique used in the research group in Siegen was based on the measurement of the frequency response G(j) of the mechanical system of the drive, when the system is excited by pseudo random binary signals. In fact it is possible to perform system identification by using other methods in the time domain as was achieved in recent works that now are continued by Mr. Van Trang Phung.

The scheme for identification in time domain of the mechanical characteristics of electrical drives implies the utilization of transients that occur in every industrial process. The results can be used for the tuning of the parameters of the control and differences of the response compared with measurements carried out during the erection of the system can be used for the purpose of diagnostics.

One way to achieve the parameter identification in time domain, even in presence of time- varying parameters, is the implementation of an Extended Kalman Filter as estimator. These works were completed in our group but have shown that a more simple approach is possible by taking into account the periodicity of the phenomenon. The time domain methods considered in this work analyze industrial drives with repetitive cycles of production. In this way the variable to be identified, usually the load torque can be measured in an indirect way and can be represented in Fourier Series. The obtained analytical function can be used for diagnostics (of bearing faults) or for the optimization of the efficiency of the drive.

The work comprised theoretical studies based on simulations and experimental work in dedicated laboratory test benches.