Parameter-Dependent H∞ Filter for LPV Semi-Active Suspension Systems

Juan C. Tudon-Martinez; Diana Hernandez-Alcantara; Olivier Sename; Ruben Morales-Menendez; Jorge de J. Lozoya-Santos

doi:10.1016/j.ifacol.2018.11.174

Parameter-Dependent H∞ Filter for LPV Semi-Active Suspension Systems

Juan C. Tudon-Martinez, Diana Hernandez-Alcantara, Olivier Sename, Ruben Morales-Menendez, Jorge de J. Lozoya-Santos

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	19-24
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	51
Issue number	26
DOIs	https://doi.org/10.1016/j.ifacol.2018.11.174
Publication status	Published - 1 Jan 2018

Bibliographical note

Publisher Copyright:
© 2018

Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.

All Science Journal Classification (ASJC) codes

Control and Systems Engineering

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10.1016/j.ifacol.2018.11.174

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abstract = "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.",

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AU - Lozoya-Santos, Jorge de J.

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