Advanced search
1 file | 1.20 MB Add to list

Vibration suppression in multi-body systems by means of disturbance filter design methods

(2018) JOURNAL OF VIBRATION AND CONTROL. 24(14). p.2957-2969
Author
Organization
Abstract
This paper addresses the problem of interaction in mechanical multi-body systems and shows that subsystem interaction can be considerably minimized while increasing performance if an efficient disturbance model is used. In order to illustrate the advantage of the proposed intelligent disturbance filter, two linear model based techniques are considered: IMC and the model based predictive (MPC) approach. As an illustrative example, multivariable mass-spring-damper and quarter car systems are presented. An adaptation mechanism is introduced to account for linear parameter varying LPV conditions. In this paper we show that, even if the IMC control strategy was not designed for MIMO systems, if a proper filter is used, IMC can successfully deal with disturbance rejection in a multivariable system, and the results obtained are comparable with those obtained by a MIMO predictive control approach. The results suggest that both methods perform equally well, with similar numerical complexity and implementation effort.
Keywords
Model based control, internal model control, predictive control, disturbance rejection, interaction, diophantine filter, dynamic compensation, vibration control, damping, multivariable system, INTERNAL MODEL CONTROL, PREDICTIVE CONTROL, FEEDBACK, ROBUST

Downloads

  • Vibration suppression in multi-body systems.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 1.20 MB

Citation

Please use this url to cite or link to this publication:

MLA
Copot, Cosmin et al. “Vibration Suppression in Multi-body Systems by Means of Disturbance Filter Design Methods.” JOURNAL OF VIBRATION AND CONTROL 24.14 (2018): 2957–2969. Print.
APA
Copot, C., Ionescu, C.-M., Vanlanduit, S., & De Keyser, R. (2018). Vibration suppression in multi-body systems by means of disturbance filter design methods. JOURNAL OF VIBRATION AND CONTROL, 24(14), 2957–2969.
Chicago author-date
Copot, Cosmin, Clara-Mihaela Ionescu, Steve Vanlanduit, and Robain De Keyser. 2018. “Vibration Suppression in Multi-body Systems by Means of Disturbance Filter Design Methods.” Journal of Vibration and Control 24 (14): 2957–2969.
Chicago author-date (all authors)
Copot, Cosmin, Clara-Mihaela Ionescu, Steve Vanlanduit, and Robain De Keyser. 2018. “Vibration Suppression in Multi-body Systems by Means of Disturbance Filter Design Methods.” Journal of Vibration and Control 24 (14): 2957–2969.
Vancouver
1.
Copot C, Ionescu C-M, Vanlanduit S, De Keyser R. Vibration suppression in multi-body systems by means of disturbance filter design methods. JOURNAL OF VIBRATION AND CONTROL. SAGE PUBLICATIONS; 2018;24(14):2957–69.
IEEE
[1]
C. Copot, C.-M. Ionescu, S. Vanlanduit, and R. De Keyser, “Vibration suppression in multi-body systems by means of disturbance filter design methods,” JOURNAL OF VIBRATION AND CONTROL, vol. 24, no. 14, pp. 2957–2969, 2018.
@article{8628517,
  abstract     = {This paper addresses the problem of interaction in mechanical multi-body systems and shows that subsystem interaction can be considerably minimized while increasing performance if an efficient disturbance model is used. In order to illustrate the advantage of the proposed intelligent disturbance filter, two linear model based techniques are considered: IMC and the model based predictive (MPC) approach. As an illustrative example, multivariable mass-spring-damper and quarter car systems are presented. An adaptation mechanism is introduced to account for linear parameter varying LPV conditions. In this paper we show that, even if the IMC control strategy was not designed for MIMO systems, if a proper filter is used, IMC can successfully deal with disturbance rejection in a multivariable system, and the results obtained are comparable with those obtained by a MIMO predictive control approach. The results suggest that both methods perform equally well, with similar numerical complexity and implementation effort.},
  author       = {Copot, Cosmin and Ionescu, Clara-Mihaela and Vanlanduit, Steve and De Keyser, Robain},
  issn         = {1077-5463},
  journal      = {JOURNAL OF VIBRATION AND CONTROL},
  keywords     = {Model based control,internal model control,predictive control,disturbance rejection,interaction,diophantine filter,dynamic compensation,vibration control,damping,multivariable system,INTERNAL MODEL CONTROL,PREDICTIVE CONTROL,FEEDBACK,ROBUST},
  language     = {eng},
  number       = {14},
  pages        = {2957--2969},
  publisher    = {SAGE PUBLICATIONS},
  title        = {Vibration suppression in multi-body systems by means of disturbance filter design methods},
  url          = {http://dx.doi.org/10.1177/1077546317736190},
  volume       = {24},
  year         = {2018},
}

Altmetric
View in Altmetric
Web of Science
Times cited: