Abstract
The feasibility of controlling the vibrations of rotating machines while performing online crack detection is addressed in this paper. For this purpose, two controllers are compared, namely \( LQR \) and \( H_{\infty } \), which represent optimal and robust control strategies, respectively. A non-dimensional Jeffcott rotor model is employed to simulate the dynamic behavior of a rotating machine. In addition, a crack is introduced in the shaft using the so-called Mayes’ model. An active magnetic bearing (AMB) is placed as an actuator at the disc location along the rotor. For each control technique, different strategies are implemented to evaluate their effectiveness on both attenuating the vibration level and detecting the fatigue crack. Conclusions are drawn regarding the effectiveness of the control strategy for each phenomenon.
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Acknowledgements
The authors are thankful to the financial support provided to the present research effort by CNPq (574001/2008-5) and FAPEMIG (TEC-APQ-3076-09 / TEC-APQ-02284-15), through the INCT-EIE.
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Leão, L.S., Sahinkaya, A., Cavalini, A.A., Steffen, V., Sawicki, J.T. (2019). The Influence of the Vibration Suppression on the Rotor Crack Detection Performance. In: Cavalca, K., Weber, H. (eds) Proceedings of the 10th International Conference on Rotor Dynamics – IFToMM. IFToMM 2018. Mechanisms and Machine Science, vol 63. Springer, Cham. https://doi.org/10.1007/978-3-319-99272-3_13
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DOI: https://doi.org/10.1007/978-3-319-99272-3_13
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