MODEL BASED PREDICTIVE CONTROL OF BEAM WITH MAGNETORHEOLOGICAL FLUID

Authors

  • Jacek Snamina AGH University of Science and Technology

Keywords:

beam vibrations, magnetorheological fluid, model predictive control

Abstract

In the work a model predictive control method was applied to control the beam vibrations. Model predictive control (MPC) is widely used as advanced control methodology. The considered beam consists of two outer layers made of aluminium and MR fluid layer in between. Activation of the MR fluid is realized by magnetic field. The analysis of strain and stress in three-layered beam were done. Then the equation of forced vibration of beam in the vicinity of the first resonances was derived. Based on this equation the simulation of MPC application was performed for the sinusoidal and random excitation.

Downloads

Download data is not yet available.

References

Arnold M., Schiehlen W. 2008, Simulation Techniques for Applied Dynamic. Springer Verlag, Wien-NewYork.

Camacho E.F., Bordons C. 2004, Model Predictive Control. Springer Verlag, London.

Holnicki-Szulc J., Marzec Z. 2000, Damping of Vibration of Adaptive Structures-Computer Simulation and Experimental Verification. Proc. of the 1st IFAC Conference on Mechatronic Systems MECA-TRONICS 2000, September 18-20, Darmstadt.

Mróz A., Orłowska A., Holnicki-Szulc J. 2010, Semi-active damping of vibrations. Prestress Accumulation-Release strategy development. Shock and Vibration, vol. 17, No. 2, pp. 123-136.

Snamina J., Sapiński B., Romaszko M. 2010a, Identification of model parameters of a sandwich beam incorporating magnetorheological fluid. Vibration in Physical Systems, vol. 24, pp. 349-354.

Snamina J., Sapiński B., Romaszko M. 2010b, Modelowanie belki z cieczą magnetoreologiczną metodą elementów skończonych. Modelowanie Inżynierskie, 39, pp. 185-192 (in Polish).

Yalcinitas M., Dai H. 2004, Vibration suppression capabilities of magne-to-rheological materials based adaptive structures. Smart Materials and Structures, 13, pp. 1-11.

Downloads

Published

2011-09-24

Issue

Section

Articles