Page 292 - Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics

CHAPTER 19

Adaptive Estimation and Control

of Magneto-Rheological Damper

for Semi-Active Suspensions

19.1 INTRODUCTION

As widely used in the semi-active control device, electro-rheological (ER)
and magneto-rheological (MR) fluids have been well recognized as spe-
cific smart materials, because their rheological properties can be changed
in millisecond time period by tuning the electric field or magnetic field [1].
Hence, MR fluid and the associated MR dampers have been used in vibra-
tion controls [2,3], e.g., bridge structure, building, and vehicle suspension
systems [4,5]. Vehicle suspension system is designed to improve the maneu-
verability, ride comfort, and safety [6,7]. Generally, the suspension system
can be divided into three types: passive suspension, semi-active suspension,
and active suspension [8,9]. It is noted that the suspension system with MR
dampers can be taken as semi-active suspension devices since the damper
force can be changed by using variable damping or energy dissipation com-
ponents. However, the control of semi-active suspension with MR damper
has not been fully solved due to the induced hysteretic dynamics in the
MR damper [10].
To accurately describe the dynamics of MR damper, several mathemat-
ical models have been proposed to capture the hysteresis and bi-viscous
characteristic, such as Bingham model [11], Bouc-Wen model [12], and
Spencer model [13], etc. However, the conflictions between the complex-
ity and the modeling accuracy of MR damper are always problematic in
the aforementioned models, for example, adopting a complex MR damper
model to comprehensively describe its dynamical characteristics may make
the parameter identification difficult. In fact, application of MR damper in
the vehicle suspension system has been rarely reported in some recent liter-
ature [10,14–16]. In these applications, the adjustment of the damping force
can be realized by changing the input current. This in turn can eliminate
the vehicle oscillation and thus improve the ride comfort and operation sta-
bility [15,17]. However, the accurate online modeling of suspension system
with MR damper deserves further investigation.
Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics.
DOI: https://doi.org/10.1016/B978-0-12-813683-6.00024-6 295
Copyright © 2018 Elsevier Inc. All rights reserved.