Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 19-24 |
| Number of pages | 6 |
| Journal | IFAC-PapersOnLine |
| Volume | 51 |
| Issue number | 26 |
| DOIs | |
| Publication status | Published - 1 Jan 2018 |
Fingerprint
Cite this
}
Parameter-Dependent H∞ Filter for LPV Semi-Active Suspension Systems. / Tudon-Martinez, Juan C.; Hernandez-Alcantara, Diana; Sename, Olivier; Morales-Menendez, Ruben; Lozoya-Santos, Jorge de J.
In: IFAC-PapersOnLine, Vol. 51, No. 26, 01.01.2018, p. 19-24.Research output: Contribution to journal › Article
TY - JOUR
T1 - Parameter-Dependent H∞ Filter for LPV Semi-Active Suspension Systems
AU - Tudon-Martinez, Juan C.
AU - Hernandez-Alcantara, Diana
AU - Sename, Olivier
AU - Morales-Menendez, Ruben
AU - Lozoya-Santos, Jorge de J.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - This paper proposes a Linear Parameter-Varying H∞ (LPV-H∞) filter for the semi-active force of a Magneto-Rheological (MR) damper embedded in a Quarter of Vehicle (QoV) model. The LPV-H∞ filter design includes the nonlinear phenomena of the shock absorber (saturation, hysteresis, semi-activeness, etc.) in two varying parameters. The polytopic LPV-H∞ filter is quadratically stable, robust to the road disturbances, and oriented to reduce the estimation error of the semi-active damper force in a frequency band of interest. Simulation results show the effectiveness of the proposed parameter-dependent filter in comparison to an algebraic MR damping force model. The estimation error is almost zero in all used simulation tests.
AB - This paper proposes a Linear Parameter-Varying H∞ (LPV-H∞) filter for the semi-active force of a Magneto-Rheological (MR) damper embedded in a Quarter of Vehicle (QoV) model. The LPV-H∞ filter design includes the nonlinear phenomena of the shock absorber (saturation, hysteresis, semi-activeness, etc.) in two varying parameters. The polytopic LPV-H∞ filter is quadratically stable, robust to the road disturbances, and oriented to reduce the estimation error of the semi-active damper force in a frequency band of interest. Simulation results show the effectiveness of the proposed parameter-dependent filter in comparison to an algebraic MR damping force model. The estimation error is almost zero in all used simulation tests.
UR - http://www.mendeley.com/research/parameterdependent-h-filter-lpv-semiactive-suspension-systems
U2 - 10.1016/j.ifacol.2018.11.174
DO - 10.1016/j.ifacol.2018.11.174
M3 - Article
VL - 51
SP - 19
EP - 24
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
SN - 2405-8963
IS - 26
ER -