Intelligent monitoring the vertical dynamics of wheeled inspection vehicles - Publikacja - MOST Wiedzy

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Intelligent monitoring the vertical dynamics of wheeled inspection vehicles

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The problem of intelligent monitoring of the vertical dynamics of wheeled inspection vehicles is addressed. With the independent MacPherson suspension system installed, the basic analysis focuses on the evaluation of the parameters of the so-called quarter car model. To identify a physically motivated continuous description, in practice, dedicated integral-horizontal filters are used. The obtained discrete model, which retains the original parameters, is effectively identified using the classic least squares procedure. Using the method of identification in the sense of the least sum of absolute values, the results of such an assessment become insensitive to sporadic outliers in the sampled data. However, the early signs of possible mechanical defects of the suspension can be seen using the forgetting mechanism. This helps to identify failures that can be recognized by changes in system parameters. Ultimately, the quality of the intelligent vehicle suspension monitoring developed is verified by means of numerical simulations. The problem of intelligent monitoring of the vertical dynamics of wheeled inspection vehicles is addressed. With the independent MacPherson suspension system installed, the basic analysis focuses on the evaluation of the parameters of the so-called quarter car model. To identify a physically motivated continuous description, in practice, dedicated integral-horizontal filters are used. The obtained discrete model, which retains the original parameters, is effectively identified using the classic least squares procedure. Using the method of identification in the sense of the least sum of absolute values, the results of such an assessment become insensitive to sporadic outliers in the sampled data. However, the early signs of possible mechanical defects of the suspension can be seen using the forgetting mechanism. This helps to identify failures that can be recognized by changes in system parameters. Ultimately, the quality of the intelligent vehicle suspension monitoring developed is verified by means of numerical simulations

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Licencja
Creative Commons: CC-BY-NC-ND otwiera się w nowej karcie

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Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
IFAC-PapersOnLine nr 52, strony 251 - 256,
ISSN: 2405-8963
Język:
angielski
Rok wydania:
2019
Opis bibliograficzny:
Kozłowski J., Kowalczuk Z.: Intelligent monitoring the vertical dynamics of wheeled inspection vehicles// IFAC-PapersOnLine -Vol. 52,iss. 8 (2019), s.251-256
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1016/j.ifacol.2019.08.079
Bibliografia: test
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  2. Hassaan, G.A. (2014). Car dynamics using quarter car model and passive suspension, part I: Effect of suspension damping and car speed. International Journal of Computer Technologies, vol. 1, pp. 1-9.
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  6. Kowalczuk, Z. and Kozłowski, J. (2011). Non-quadratic quality criteria in parameter estimation of continuous- time models. IET Control Theory and Applications (The Institution of Engineering and Technology), vol. 5, no. 3, pp. 1494-1508. otwiera się w nowej karcie
  7. Kowalczuk, Z. and Tatara, M. (2019). Sphere Drive and Control System for Haptic Interaction with Physical, Virtual, and Augmented Reality. IEEE Transactions on Control Systems Technology, vol. 27, no. 2, pp. 558-602. otwiera się w nowej karcie
  8. Kozłowski, J. (2003). Nonquadratic quality indices in estimation, approximation and control. Proc. 9th IEEE International Conference on Methods and Models in Automation and Robotics, Międzyzdroje, Poland, vol. 1, pp. 277-282. otwiera się w nowej karcie
  9. Ljung, L. (1987). System identification. Theory for the user. Prentice-Hall Inc., Englewood Cliffs, New Jersey, USA.
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Weryfikacja:
Politechnika Gdańska

wyświetlono 90 razy

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