Thus in order to prevent important oscillations of
the upper system, we have to control the transmitted
excitation. This one is transmitted by the suspension.
To control the dynamic behaviour of the suspension
allows us to minimize oscillations of the mass mq
and also to minimize the force on the upper system.
In the following, different methods of control of
the dynamic behaviour are designed and a
comparative analysis is presented. Then problematic
and prospects of real device are exposed.
3 CONTROLED SYSTEM
3.1 Problematic
The previous work shows that the particular
excitation transmitted by the suspension to the mass
ms, leads to important oscillations of the mass mq.
Several studies propose different controled
suspensions in order to minimize the acceleration of
the mass ms (Giua et al., 2004; Guglielmino and
Edge, 2004; Kim et al., 2003). The aim of all these
studies is to minimize the acceleration of the mass
ms in order to insure the comfort of passengers
(Yagiz, 2004). Our aim is to minimize acceleration
of the mass mq. In fact, according to the coupling
between the sprung mass (ms) and the upper mass
(mq), we will control the transmitted force on ms in
order to minimize acceleration of the upper mass
(mq).
In fact we can’t add a control force on the upper
system; that would mean a collocated actuator on the
tail beam on a real aircraft. This is more difficult and
less practicable than control the landing gear.
3.2 Comparative Analysis of Different
Methods of Control
Here we compare different methods of control. First
we study two classical methods of PID with
feedback on ms measure of acceleration and then on
mq measure of acceleration in order to respectively
minimize acceleration on ms and on mq.
Then we design sliding mode controller with
state feedback on ms using the existing coupling
between the sprung mass (ms) and the upper mass
(mq) in order to minimize the acceleration of mq.
We want to control the excitation force
transmitted by the suspension to the sprung mass
(ms). We introduce a control force, noted u, in the
equations defining the system. This force is added
on the sprung mass in parallel with passive force of
damping and stiffness. According to equations (2)
and (3) previously exposed we obtain:
()
(
()
()
()
()
q
hms
bms hmns
ms Zms ms g kq Zq Zms cq Zq Zms
kq a a lq0 ks Zms Zmns
ks a a ls0 cs Zms Zmns
u
⋅=−⋅+⋅− +⋅−
+⋅−− − −⋅ −
−⋅− − − −⋅ −
+
(6)
()
()
()
bms hmns
bmns
mns Zmns mns g ks a a ls0
ks Zms Zmns cs Zms Zmns
kp Zmns Zp a lp0 u
⋅=−⋅+⋅−−−
+⋅ − +⋅ −
−⋅ − − − −
(7)
3.2.1 Design of PID Controller
Considering the Laplace domain, the transfer
function used for the PID controller is the following:
d
p
id
Tp
U(p) 1
H(p) K 1
(p) T p a T p 1
⎛⎞
⋅
==⋅++
⎜⎟
⋅⋅⋅+
⎝⎠
(8)
Where K
p
, T
d
, T
i
and a are tuning parameters
determined from simulations. ε(p) is the offset
between the set point and the measure of the
considered parameter.
We study two approaches. First, we minimize the
acceleration of the sprung mass (ms). On a second
time, we minimize the acceleration of the upper
mass (mq). In fact, we firstly minimize the
acceleration of the sprung mass (ms) because
according to mechanical coupling between the two
masses, we want to analyse the behaviour of the
upper mass (mq) using a PID controller in order to
minimize the acceleration of the sprung mass (ms).
Then we use the same PID controller with
minimization of the upper mass (mq), always
exerting the control force u on the sprung mass.
Results of the simulations of these two controled
systems are presented and discussed in the following
of this paper (cf. part 3.2.3).
3.2.2 Design of Sliding Mode Controller
Always using the mechanical coupling between the
sprung mass (ms) and the upper mass (mq), we
control the behaviour of the sprung mass (ms) using
a sliding mode controller in order to minimize the
acceleration of the upper mass (mq).
In this part we develop the design of the sliding
mode controller which we will implement in the
following. We have the following state vector:
ICINCO 2007 - International Conference on Informatics in Control, Automation and Robotics
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