Abstract
This paper demonstrates linear and nonlinear system identification methods based on a first-principles monotube shock absorber model. Two models were considered, namely low- and high-content a priori knowledge first-principles models. Operational data collected during testing of a shock absorber on a servo-hydraulic test rig were used in order to validate the proposed system identification methods and evaluate their accuracy. The proposed approach in system identification has potentials for a wide range of engineering applications such as control of active and semi-active suspension system.
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Czop, P., Hetmańczyk, M., Wszołek, G., Słoniewski, J. (2019). Modelling and System Identification of a Monotube Shock Absorber. In: Świder, J., Kciuk, S., Trojnacki, M. (eds) Mechatronics 2017 - Ideas for Industrial Applications. MECHATRONICS 2017. Advances in Intelligent Systems and Computing, vol 934. Springer, Cham. https://doi.org/10.1007/978-3-030-15857-6_8
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DOI: https://doi.org/10.1007/978-3-030-15857-6_8
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