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Robust semiactive control of a half‐car vehicle suspension system with magnetorheological dampers: Quantitative feedback theory approach with dynamic decoupler
Author(s) -
Jeyasenthil Ramamurthy,
Yoon DalSeong,
Choi SeungBok,
Kim GiWoo
Publication year - 2020
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.5355
Subject(s) - quantitative feedback theory , skyhook , magnetorheological fluid , control theory (sociology) , damper , mimo , magnetorheological damper , controller (irrigation) , engineering , suspension (topology) , control engineering , sprung mass , control system , robust control , computer science , control (management) , mathematics , channel (broadcasting) , artificial intelligence , homotopy , pure mathematics , electrical engineering , biology , agronomy
This article presents the quantitative feedback theory (QFT) based multivariable controller for the vertical and the pitch angle motion of a half‐car suspension system. A coupled half‐car system with significant uncertainty, due to sprung masses variation, poses a challenging control problem. Multi‐input multi‐output (MIMO) QFT method is used for this purpose which involves converting the actual MIMO system into an equivalent single‐input single‐output (SISO) system so that the design problem is carried out using the SISO QFT principles. The proposed idea is centered on by converting the coupled MIMO system into a decoupled one using the dynamic decoupler where in controllers are designed independently based on the equivalent SISO system. The designed QFT‐based controllers with the decoupler use the semiactive suspension strategy (realized using the magnetorheological (MR) damper) to reduce the vibration of the half‐car suspension system (in vertical/pitch angular motion) and hence to increase the ride comfort and the vehicle road holding. The feedback cost is less in the proposed design than the sequential QFT design. In this study, the MR damper dynamics is captured by the first‐order model which is realistic, efficient, and simple form. Extensive comparative simulation studies are carried out to illustrate the effectiveness of the proposed design over the existing methods such as passive and skyhook control under different road excitation.